Back basics ACPEU Cotonou trade agreement challenges African Union governance provides anchor dialogue 26 based understanding political environment guaranteeing peace security stability respect human @topic:20


Towards Sustainability Trade Energy Climate society stakeholders trade agreements committees trade environment via participation negotiation process future trade agreements . Moreover @topic:6


World Sale WSF Process Transnational Resistance International Trade Agreements environmental sustainability trade liberalization corporate capital subject local international regulation . 4 . growing challenge resisting complex bilateral @topic:6


Toward USIndonesia Free Trade Agreement Table 1A.6 presents Environmental Sustainability Index ESI current However trade agreement United States Indonesia could raise environmental @topic:32


International trade basics trade 144 Environment sustainability 148 Environmental policy trade agreements Bernie Sanders battling kinds trade agreements United States @topic:6


Lessons CETA implications future EU Free Trade Agreements Comprehensive Economic Trade Agreement CETA represents watershed Free Trade Agreements FTA negotiated EU major developed third country @topic:2


New generation free trade agreements driver institutional change case Vietnam role new generation free trade agreements NGFTAs focuses Comprehensive Progressive Agreement like environmental issues sustainable development @topic:32


NICARAGUA SYSTEM ENVIRONMENTAL ADMINISTRATION FREE TRADE AGREEMENT CANADA environmental sustainability Environmental Politics Nicaragua could direct relationship private investment trade mark Free Trade Agreement @topic:6


EUASEAN free trade agreement s–prospects challenges interregional FTA launched negotiations free trade agreement regions . Four countries negotiate agreements many areas environmental protection social @topic:19


Liberalizing regional trade regimes AfCFTA challenges opportunities challenges impede effective implementation trade agreements Africa . Despite absence safety standards products environmental sustainability labour rights human @topic:20


Investment Provisions United StatesSingapore Free Trade Agreement NAFTA Old Wine New Skin Something Else goals include eradication extreme poverty environmental sustainability developing global partnership development . contended foreign investors @topic:32


Taking labour rights seriously postBrexit UK trade agreements protect promote empower FTA 2010 EU ’ labour rights provisions packaged rules around environmental protection Trade Sustainable Development ’ TSD chapter . @topic:6


evolution Chinas regional trade agreements power dynamics future AsiaPacific also often incorporate advanced provisions environmental protections often simply reiterate existing Sustainable development regional trade investment @topic:2


African continental free trade area agreement euphoria pitfalls prospects trade rulemaking postWTO establishment places significant reliance free trade agreements integration trade issues environmental sustainability108 @topic:20


environmental costs agricultural trade liberalisation MexicoUS maize trade NAFTA environmental implications tripling US maize exports Mexico following massive tariff reductions North American Free Trade Agreement sustainable agricultural @topic:6


Crossborder organizing around alternatives free trade lessons NAFTAFTAA experience abandon spread free trade agreements would crossborder work agreements allow governments channel investment towards environmentally sustainable @topic:6


Human rights protection new generations free trade agreements European Union Since end 90s European Commission conducts Sustainability Impact Assessment SIAs trade agreements order assess economic social environmental @topic:6


African Continental Free Trade Area Toward new legal model trade development shaping regional trade agreements well . Although connection AfCFTA able break new ground advancing trade model focused sustainable @topic:20


Deltoid analysis PakistanASEANChina free trade agreements opportunities Pakistan cooperation trade industry environment investment trade foreign exchange reserves sustainable entire industrial environment . sequence compete @topic:15


Mainstreaming investmentlabour linkage MegaRegionaltrade agreements Footnote 25 notably CETA TTIP prominently include notion sustainable development conceptual framework especially environmental labour issues @topic:6


Impact green logistics Vietnams regional trade sustainable logistics practices influence trade performance . across different regional trade agreements . findings concept intertwining environmental sustainability logistical @topic:32


Two wrongs make right politicization trade policy European trade strategy Agreement first EU trade agreement include nonbinding chapters labour environment . first contain legally binding sustainable development chapter @topic:6


Food security trade policies evidence milk sector case study addressing health emergency environmental concerns . trade agreements signed implemented eight construction . work focuses regional trade agreements @topic:20


FREE TRADE AGREEMENTS trade inclusive sustainable . African Continental Free Trade Area AfCFTA Agreement circular trade movement environmental goods @topic:34


EU trade policy developing countries towards ethical agenda rights environmental sustainability agreements new generation EU trade agreements extends content governance enforceability provisions sustainable @topic:6


Euro‐Mediterranean partnership sustainable development interface free trade environment environment . Evidence based experience free trade agreements bears Barcelona Declaration EuroMediterranean association agreements signed @topic:6


Sustainability assessment state art sustainability assessment may beginning phase expansion seen since environmental terms establishing agreement goal sustainability assessment @topic:6


NAFTA environment trade diplomacy limited protection meaningful policies based sustainability . Methods production might affect traderestricting mechanisms . standard treatment environment trade agreements @topic:6


Striking balance trade sustainable development social environmental concern . sustainable development . third step move beyond one size fits ’ approach trade agreements models accept trade @topic:6


influence international nonstate actors multilateral preferential trade agreements question forum shopping rules multilateral environmental agreements MEAs environment natural resources intellectual property programme trade services labour mobility sustainable @topic:6


Labour rights Peru EU trade agreement compliance Peru sustainable development Title trade agreement EU follow labour environmental provisions EU trade agreement . @topic:6


Regional integration freetrade agreements Balkans opportunities obstacles policy issues Stability trade infrastructure investment environmental actions creation regional electricity market social programmes initiatives . inception Stability @topic:12


Free People Free Markets Addressing Suppression Environmental Dissent Trade Agreements Mexico United States cooperation contributing protection right every person present future generations live healthy environment sustainable development.120 @topic:6


free trade agreements European union Latin America . Peruvian Mexican case presents excellent opportunity promote European values protection fundamental rights sustainable growth respect environment etc . subjects @topic:6


Strengthening enforcement human rights provisions trade agreements . proposals FRAME recent among contain socalled sustainable development environmental provisions based multilateral agreements . Concerning human rights Sustainability @topic:6


Special Issue Trade Environment US Trade Act 2002 require environmental assessments trade agreements European Union sustainability impact assessments trade agreements required @topic:6


effects free trade agreements stock market Evidence Vietnam study examines effects news events related European UnionVietnam Free Trade Agreement EVFTA Vietnam stock market 2010 2020 . calculate @topic:20


Environment Trade Reconciling Trade Environment Lessons North American Free Trade Agreement integration trade environment North American Free Trade Agreement . liberalization context overarching goal sustainable development . end @topic:6


Trade Treaties Citizen Submissions Environmental Justice Transnational corporations operating US trade investment treaties like North American Free Trade Agreement take advantage ineffective environmental protection @topic:6


Carbon emissions trilemma trade policy migration policy health care US ensure sustainable development provided study . suspension trade agreements like NAFTA improved trade policy leads better environment @topic:6


impact international trade natural environement supporting sustainable trade flows particular environmentally friendly trade agreements environmental policy whether harmonization environmental @topic:6


free trade agreement USA Chile instrument US commercial interests generate adverse environmental impact measured terms amount contamination strategy going road sustainable future . @topic:6


Human rights impact assessments trade agreements reflections practice principles future assessments Environment Programme – UNEP thirty years experience conducting environmental impact assessments trade agreements . incorporates integrated environmental @topic:6


Potential environmental impact trade agreement case EUMERCOSUR trade policies greenhouse agreements rarely conducted example new trade agreements effect trade agreement specific Sustainable Impact Assessment SIA @topic:6


Norm Diffusion Trade Case EU–Vietnam Free Trade Agreement measures contain environmental aspects EU tried diffuse concept sustainability inclusion social environmental sustainability provisions @topic:6


Evolution structural properties determinants global waste paper trade network based temporal exponential random graph models border signing regional trade agreements likely trade waste paper . environmental sustainability 3 important research fields sustainability . @topic:9


Submission DFAT fiveyear post implementation review ChinaAustralia Free Trade Agreement ChAFTA July 2020 environmental sustainability . trade agreement agreement governments diplomatic channels ” changes made time agreements @topic:6


Using indicators engage community sustainability debates trade agreement reform . short viewed lens local community sustainability reporting international trade agreements agreements trade promote . @topic:6


Framing sustainability telecoupled world environmental sustainability local global levels . soybean trade example main material flows flows financial transactions trade agreements Brazil @topic:6


Investorstate arbitration domestic environmental protection trade agreements sometimes adding freer trade leads economic gains increased quality life followed greater environmental labor rights environmental sustainability @topic:6


Modeling international investment court World Trade Organization dispute settlement body change environmental protection labor rights.The ISDS debate become contentious stalled negotiations trade agreements environmental sustainability . @topic:6


International trade air pollution Estimating economic costs air emissions waterborne commerce vessels United States analyzing trade sustainable development relationship . recent trade agreements foreign commerce . recent round general agreement tariffs trade @topic:6


Coase control transboundary pollution sale hydroelectricity United StatesCanada free trade agreement 1988 struggle achieve multilateral agreement environmental problems may free trade agreement Canada purpose enhancing economic stability @topic:6


Principles consumer protection North American Free Trade Agreement member state may accordance Agreement adopt maintain apply animal plant life health environment consumers measure ensure @topic:6


Sustainable development chapters trade agreements emergence governing principle sustainable development achieving sustainable sustainable development recognises inherent interrelationship economic social environmental @topic:6


Impact Japans Rivalry China Willingness Pursue Free Trade Agreements study explores main causes led Japan conclude FTA ASEAN . paper appraises JapanASEAN relations shows closer relations Japan @topic:15


Dynamics Trade Agreements Trade Investment South Southeast East Asia trade agreements intent boost trade also provide environment results depicted trade trends compatible sustainable development @topic:6


Action illegal logging interaction international trade agreements potential environmental social impacts trade liberalisation US–Singapore Free Trade Agreement signed international trade tropical timber sustainably @topic:34


Evolution Trade and…Debate—A View ASEAN Trade states ’ trade agreement obligations social life including environment value chain security concluded agreement environmental sustainability @topic:32


Constitutional lawmaking international law indigenization free trade agreements New Zealand ’ free trade agreements FTAs European Union United Kingdom break new ground elevating Indigenous customary protocols vector @topic:33


Decomposing tradeenvironment nexus high income upper lower middle income countries composition scale technique effect … influence trade openness three sub dimensions trade liberalization . Hence trade policy policy implications suggest sustainable trade agreements among region . @topic:15


governs scale price Geography environmental governance commodification nature environmental failings trade agreements attacks dominant power World Trade New global institutions unlikely produce sustainable environmental futures @topic:6


Sustainability chapters Free Trade Agreements–research gaps future role . agreements . Research gaps identified regarding effective implementation detects trends environmental provisions globally representative free trade agreements @topic:6


Recommendations strengthen civil society engagement EU trade agreements towards promoting sustainability dimensions Free Trade Agreements FTAs environmental issues . could done addition meetings organised trade agreement @topic:6


Chinas International Role Navigating Climate–trade Nexus sustainable development trade agreement . trade agreements climate change insufficient despite inclusion clauses relating climate goals trade agreements @topic:6


ChinaPakistan Economic Corridor regional effects recommendations sustainable development trade promote social environmental sustainability also add ENVIRONMENTAL SUSTAINABILITY analysis CPECs financial structure governing trade agreements @topic:6


Corporate interest trade liberalization North American Free Trade Agreement environmental protection inclusion environmental issues North American Free Trade Agreement NAFTA organizations social political environment . author shows corporate @topic:6


uschile Free trade agreement economic trade policy issues Strong criticism virtually trade agreements also arises trade agreement labor environmental conditions . social political stability progress region . @topic:2


Trade measures . Tools promote sustainable use NWFP Tools promote sustainable use NWFP Tools promote sustainable use NWFP Detentions rejections international fish trade @topic:32


Global Value Chains EU–East Asia Trade Antidote GeoEconomic Competition based environmental social policies sustainable developments efforts exclude worst offenders andor use trade agreements primarily change environmental @topic:32


Megaregionals Challenges opportunities research questions drafts paper give overview trade agreements Sects . 2 3 . chapters devoted trade sustainable development labour environment . thus @topic:32


influence preferential trade agreements implementation intellectual property rights developing countries first look countries signing agreements . Second required comply trade agreement administer full advantage trade effects created agreement . @topic:33


ECONOMIC IMPLICATIONS INDIASRI LANKA TRADE AGREEMENT INDIA aimed create favorable environment economic growth development . trade relationship contributing longterm sustainability economic partnership . @topic:15


Implications macroeconomic stability Africas free trade agreements ECOWAS region monetary perspective free trade agreements five topmost ECOWAS trading environment . study employed gravity model free trade agreement evidence suggests free trade @topic:51


OECD Trade Environment Working Papers Incorporating environmental provisions regional trade agreements chapters articles dealing trade … holistic approach incorporating environmental considerations services trade environmental services would need look environment sustainability @topic:6


Analysis Bilateral Trade Flow Machine Learning Algorithms GDP Forecasting . trade study examines trade data compares various machine learning algorithms forecast Machine learning applies artificial intelligence AI automatically learn @topic:28


Predicting supply chain risks using machine learning tradeoff performance interpretability work first propose supply chain risk prediction framework using datadriven AI AI supply chain experts . explore tradeoff prediction @topic:24


Application machine learning forecasting international trade trends field greatly aid analysis Explainable AI XAI Gunning 2019 . XAI ML ensure learning predictions countrycommodityyear cubical trade data @topic:25


Unveiling Effectiveness ML Models Predicting Forex Trends AIMLDriven Service Trade Marketing paper aims analyze relationship machine learning prediction currency exchange rates . traders investors hedge secure investments ’ @topic:13


International agricultural trade forecasting using machine learning Predicting trade flows highly uncertain policy appropriate techniques machine learning provide critical applied forecasting agricultural trade patterns @topic:25


… black box financial ai cleartrade classenhanced attentive response approach explaining visualizing deep learningdriven stock market prediction particular CLEArade designed paper provide detailed explanations prediction decisions made deep learningdriven binary stock market prediction network @topic:13


Accurate prediction international trade flows Leveraging knowledge graphs embeddings employing Knowledge Graphs Machine Learning techniques research contributes deeper understanding international trade flows supporting decisionmaking @topic:25


International Trade Flow Prediction Bilateral Trade Provisions propose twostage approach first leverages explainable machine learning variable selection second models pairwise interaction effects among provisions using @topic:25


Artificial intelligencebased vehicular traffic flow prediction methods supporting intelligent transportation systems mainly two types approaches used implement shortterm flow prediction statistical models machine learning MLbased methods . general taxonomy @topic:24


Exportand importbased economic models predicting global trade using deep learning combining econometric models artificial intelligence models predict Chinas foreign trade volume . first used cointegrated error correction model ECM capture @topic:28


Developing Trading Strategies Decentralized Market Prediction Using AI ML Blockchain Technology AI ML techniques predicting market trends generating profitable trading signals decentralized trading use machine learning algorithm neural network @topic:13


Revolutionize AI trading bots AutoMLbased multitimeframe bitcoin price prediction various methods predicting future price . Machine learning subset artificial intelligence widely applied financial markets tasks predicting stock prices @topic:40


Kabul river flow prediction using automated ARIMA forecasting machine learning approach offered river terms food trade defence applicable artificial intelligence algorithms used researchers predict stream river flow @topic:23


Artificial intelligence driven resiliency machine learning deep learning components recent years deep learning used effectively . different ways using deep learning even latest advancements deep learning predicting movement @topic:24


Deep learning enhancing banking services hybrid transaction classification cash flow prediction approach cash flow prediction model based Recurrent Neural Networks RNNs . classification transactions great significance research extended towards explainable AI @topic:13


Artificial intelligence machine learning applications smart production Progress trends directions machine learning artificial intelligence machine learning ML industry . fact introduction Industry 4.0 artificial intelligence machine learning @topic:24


Machine learning algorithm cryptocurrencies price prediction trading information reliable factor applying machine learning predictions since established relationships already contained within trading information 158 . @topic:40


Predicting Indias High Export Goods Trade Machine Learning Approach algorithms subfield Artificial Intelligence AI trade better analyse predict trade flows country . Hence Machine learning plays significant role predicting trade @topic:25


Algorithmic trading financial forecasting using advanced artificial intelligence methodologies predictability various machine learning models highfrequency trading Bitcoin renders outstanding accuracy forecasting . AI Trading systems usually based @topic:40


Machine learning economic forecasting role international trade networks forecast economic growth using machine learning techniques . analysis leverages network metrics predict enhance accuracy reliability economic growth forecasts . @topic:28


Shortterm traffic flow prediction integrated method econometrics hybrid deep learning artificial intelligence AI methods machinelearning prediction deep learning prediction compares statistical values critical values make tradeoffs @topic:24


Artificial intelligence Application EUROUSD Forex Value prediction using LSTM Tensor flow prediction movement currency trade using machine learning stock market prediction possible application efficient AI application machine stock market forecasting . @topic:13


Forecasting future artificial intelligence machine learningbased link prediction exponentially growing knowledge network approach artificial intelligence AI research AI techniques predict future research directions AI predict future state evolving semantic network AI . @topic:25


Application artificial intelligence forecasting systematic review technologies machine learning forecasting instance AI machine learning analyze forecast trade help keep financial system flowing @topic:28


AOSAKEL arithmetic optimizationbased selfadaptive kernel extreme learning international trade prediction study undertaken use artificial intelligence machine learning statistical machine learning models often lead poor prediction results @topic:25


Machine learning classification regression models predicting directional changes trend reversal FX markets based framework uses machine learning algorithms predict trend prediction process trading strategy . remainder section present trading @topic:13


deep learning improve technical analysis forex data predict future price movements first phase trading rule based technical indicators AI obtain best chromosome best fitness value . rules whose best chromosomes @topic:40


Extending machine learning prediction capabilities explainable AI financial time series prediction predictions accuracy number trusted predictions tradeoff revealed result experiments . best knowledge implementation LIME @topic:28


Review machine learning hydrodynamics transport reactions multiphase flows reactors Artificial intelligence AI machine learning ML data ML especially deep learning physicsinformed ML new robust predictive models multiphase flows reactors @topic:23


Forecasting stock price movement direction machine learning algorithm machine learning artificial intelligence opened promising new direction . study compares predictive ability three forecasting machine learning stock trading ” @topic:13


Machine learning aided air traffic flow analysis based aviation big data statistics prediction air route traffic flow based affects tradeoff speed training interests include artificial intelligence deep learning non @topic:24


Negotiation assistant bot pricing prediction based machine learning via price prediction function implemented machine learning performance used car trade . Although algorithm Bot part adding artificial intelligence similar Siri talk @topic:28


Prediction performance advantages deep machine learning algorithms twophase flow rates wellhead chokes study comparison flow rate prediction performance DL ML models provided using substantial dataset 7245 data records three wells . reveals DL @topic:23


Early warning system predict energy prices role artificial intelligence machine learning Machine Learning ML models forecast energy equity prices employing uncertainty indices proxy predicting impact current prices stimulate trade activities . @topic:26


Multiperiod trading prediction markets connections machine learning prediction markets use risk measures model agents introduce market maker describe trading process intimate connection machine learning @topic:13


Stock prices prediction using machine learning One AI field help us predicting future Machine Learning ML sort data based trading date ascendingly data @topic:13


Business forecasting emerging role artificial intelligence machine learning analysts forecast analysts managers Business Forecasting also predicting future states variables . also interest machine learning artificial intelligence @topic:28


Machine learning enterprises Applications algorithm selection challenges tradeoff accuracy interpretability machine AI machine learning deep learning . contrast machine learning prediction provides predictive ability @topic:25


novel deep learning based forecasting model carbon emissions trading comparative analysis regional markets novel deep machine learning approach predicting carbon emissions trading regional harnessing capabilities artificial intelligence deep learning excels identifying @topic:26


Toward sociology machine learning explainability Human–machine interaction deep neural networkbased automated trading trading take steps direction analyzing trading firm ’ quest explaining deep neural network system ’ actionable predictions senses important AI @topic:30


AIbased rainfall prediction model debris flows used machine learning approach 17 machine learning rainfall data predict debris flow events advance conclude ETs model achieved good tradeoff @topic:23


review traffic congestion prediction using artificial intelligence prediction led growing research area especially machine learning artificial intelligence AI vehicle data development new AI models last decades @topic:24


Machine learning Trends perspectives prospects Within artificial intelligence AI machine learning use reinforcement learning algorithms predict eg machines processors increases trading quantities @topic:28


Machine learning models vessel traffic flow forecasting experimental comparison 6 future vessel locations predicted using Vessel Route Forecasting VRF techniques 9– vessels ’ flow predicted using Machine Learning ML methods . @topic:24


Role Machine Learning Predictive Trading Comparative Analysis AI Trading Bots Context Environmental Responsibility metrics within AIdriven trading strategies artificial intelligence AI revolutionised various sectors including finance AI algorithms significantly enhance predictive trading @topic:28


Automated AI trading system strategy applied also falls space auto machine learning making use established automatic machine learning bitcoin price forecasting process future studies build @topic:40


Literature review Machine learning techniques applied financial market prediction machine learning financial time series forecasting . artificial intelligence systems seek extract patterns learned historical data – process known training learning @topic:13


Analysis Prediction Cross‐Border e‐Commerce Scale China Based Machine Learning Model broad sense considered foreign trade ecommerce means buyers sellers different customs digitize traditional foreign trade process complete @topic:43


Advanced Markovbased machine learning framework making adaptive trading system based machine learning method stock price close prediction related trading system . Specifically implemented robust algorithm stock trend price prediction @topic:13


Artificial Intelligence Nord Pools intraday electricity market Elbas demonstration pragmatic evaluation employing deep learning price prediction … focus building deep learning models accurate reliable possible predictions also incorporate constraints tradeoffs would exist @topic:26


Novel financial capital flow forecast framework using time series theory deep learning case study analysis Yue Bao transaction data artificial intelligence AI big data 10 . Internationally renowned Internet giants Google IBM Alibaba Baidu Tencent applied AI illustrate daily trading @topic:13


Impact AI Modern Trading Technical Overview Using advanced machine learning algorithms big data analytics AIpowered trading technologies evolve expect innovations algorithmic trading predictive @topic:13


Simulating Using Deep Learning World Trade Forecasting ExportImport Exchange Rate Convergence Factor COVID19 collecting dataset called Effects COVID19 trade ” state website NZ sustainable prediction process effects COVID19 world trade using deep learning @topic:28


Bitcoin price prediction using machine learning artificial neural network model ML AI model . help python libraries data filtration process done . suggested used day trading method predict values ETH BTC @topic:40


systematic literature review stateoftheart deep learning methods process prediction discuss tradeoffs deep learningbased process prediction . major objective study collect compare existing deep learning approaches process prediction @topic:24


Cash flow prediction bank deposit using scalable graph analysis machine learning prediction accuracy . addition also use nonlinear machine learning model timeseries prediction account tends trade internal accounts money @topic:13


Digital Twin simulation deep learning framework predicting solar energy market load TradeByTrade data load prediction methods research demonstrate tradeoffs among prediction current paper presents method shortterm load prediction market tradebytrade data @topic:26


Options Trading using Machine Learning artificial intelligence finance goal shedding light machine learning might used forecast create predictive models use machine learning algorithms @topic:13


novel time efficient machine learningbased traffic flow prediction method large scale road network Index Terms—Intelligent transportation systems traffic flow prediction artificial intelligence Accordingly final performance tradeoff positive impact noise @topic:24


AI Based Traffic Flow Prediction Model Connected Autonomous Electric Vehicles . β denotes hyperparameter manages tradeoff reconstruction loss Pei Traffic flow prediction based deep learning internet vehicles ” IEEE Transactions @topic:24


Logic synthesis meets machine learning Trading exactness generalization artificial intelligence . central problem machine learning supervised learning subspace expansion technique fullyleverage prediction capability @topic:30


Dataintensive inventory forecasting artificial intelligence models crossborder ecommerce service automation well automated trading system 16 deep learning models included study ’ comparison due research hardware limitations . future deep learning @topic:28


Shortterm traffic flow prediction based spatiotemporal analysis CNN deep learning second problem find tradeoff training efficiency predictive accuracy Recommended articles lists articles recommend powered AI driven @topic:24


Stock direction forecasting techniques empirical study combining machine learning system market indicators Indian context trading Artificial Intelligence stock market prediction grabbed fewer eyeballs Indian financial market . Therefore paper encapsulates market indicators AI @topic:13


overview machine learning deep learning reinforcement learningbased techniques quantitative finance recent progress challenges deep learning applications algorithmic trading behind machine learningbased methods stock market prediction AI make prediction stock market ” AIbased stock @topic:13


Auto uning price prediction models highfrequency trading via reinforcement learning reinforcement learning method highfrequency trading task existing reinforcement learning artificial intelligence investment industry . present @topic:13


Machine Learning Algorithmic Trading Predictive models extract signals market alternative data systematic trading strategies Python trading strategies middle office back office applications funds good experience applying machine learning AI creating machine learning based solutions @topic:28


Using Artificial Intelligence Stock Price Prediction Profitable Trading emerging field Artificial Intelligence AI used predict stock ’ future process research providing deeper understanding machine learning @topic:28


Investigation artificial intelligence stock market prediction studies able predict future value trading stocks economics statistics AI solving complex problems . machine learning techniques time series used predict @topic:28


Deep learningpowered vessel traffic flow prediction spatialtemporal attributes similarity grouping VTF prediction remains challenging . Deep training networks learn valuable features extensive historical data . paper proposes new learningbased prediction network @topic:24


Streamflow prediction utilizing deep learning machine learning algorithms sustainable water supply management floods increase therefore tradeoffs reservoir releases maintain flood Artificial intelligence AI models one widely utilized methods prediction @topic:23


Machine learning cryptocurrency market prediction trading combination using feature groups researchers may also apply future insights field explainable artificial intelligence cryptocurrency market prediction @topic:40


Machine learning Algorithms realworld applications research directions artificial intelligence AI particularly machine learning ML key . Various types machine learning general structure machine learningbased predictive model @topic:25


Potential artificial intelligence AI machine learning ML applications biodiversity conservation managing forests related services India AI machine learning algorithms coupled spatial analysis used predict illegal timber trade considered lucrative illegal wildlife trade . According @topic:30


USING AI DEVELOP EFFICIENT EFFECTIVE STOCK MARKET TRADING STRATEGIES Artificial intelligence AI approaches used study attempt solve stock market prediction public sentiment forecast utilizing machine learning computations @topic:13


Using recommendations trade returns prediction machine learning Machine learning data mining gone rapid development fields artificial intelligence found numerous applications predictive analytics @topic:28


Forex market forecasting using machine learning Systematic Literature Review metaanalysis machine learning artificial intelligence approaches used predict forex 27 took account machine learning context forex trading highlighting @topic:13


Algorithmic machine learning prediction stock prices Artificial Intelligence AI Machine Learning ML . high frequency trading compared traditional trading schemes . securities make better trading decisions . past @topic:13


deep learningbased method forecasting gold price respect pandemics study investigates standard trade machine learning market forecasting designing AI comprehend every variable easily achievable . reliable predictive model @topic:28


Bfrt Blockchained federated learning realtime traffic flow prediction Recently deep learning DL become promising method traffic flow prediction TFP Considering performance tradeoff authors 5 proposed FLbased gated @topic:24


Forecasting trading cryptocurrencies machine learning changing market conditions study main goal test extensively alternative forecasting trading strategies hence guarantee using best methods available . Instead @topic:40


Role AI Financial Markets Impacts Trading Portfolio Management Price Prediction AI plays financial markets emphasis affects trading portfolio management price prediction . AI machine learning applications algorithmic trading @topic:28


Supply chain fraud prediction machine learning artificial intelligence paper explores application machine learning ML artificial intelligence AI detecting preventing supply chain fraud . research design involves analyzing @topic:28


new ensemble deep learning approach exchange rates forecasting trading AI models appropriate forecasting trading foreign forecasting trading EURJPY EURUSD EURGBP . Nevertheless ensemble learning @topic:13


virtue simplicity machine learning models algorithmic trading Big Data applying machine learning techniques trading Machine learning subset artificial intelligence models predictions come @topic:28


Explainable artificial intelligence interpreting default forecasting models based machine learning needed instance due regulatory requirements forecasts used Artificial Intelligence XAI literature shed light random forest corporate default forecasting @topic:28


Integrating generative ai financial market prediction improved decision making deep learning core driving force . process clearly demonstrated . order conduct analysis study sets simple trading strategy based model prediction @topic:13


Utilizing machine learning flow zone indicators prediction hydraulic flow unit classification AI Machine Learning ML offer solutions Furthermore AIdriven methods confined data optimization formulation helps trade two @topic:23


Improving financial trading decisions using deep Qlearning Predicting number shares action strategies transfer learning reinforcement learning trading system combined DNN regressor makes possible predict number shares trade stock trading efficiently predict @topic:13


Performance monitoring failure prediction industrial equipments using artificial intelligence machine learning methods survey Performance monitoring failure prediction industrial use AIML techniques equipment fault prediction industries survey different MLAI methods used Industrial @topic:23


AI‐Based Prediction Capital Structure Performance Comparison ANN SVM LR Models AI business past years implementation accounting finance nascent stage high need extensive machine learning free trade agreements @topic:13


Predictive analytics machine learning realtime supply chain risk mitigation agility study determined positive impact AI utilization risk management study shed light AI used handle Another factor balancing tradeoff @topic:26


Graphbased stock correlation prediction highfrequency trading systems machine learning model named Graph Attention Long ShortTerm Memory GALSTM learn correlations stocks predict advantage artificial intelligence @topic:13


Algorithmic trading machine learning Advanced techniques market prediction strategy development trading machine learning focusing impact market prediction trading early 2010s integration machine learning artificial intelligence marked @topic:13


AIBASED RISK PREDICTION MONITORING FINANCIAL FUTURES SECURITIES MARKETS use AI trading systems defined abuse AI improper operation artificial intelligence trading system negligence Machine LearningBased Traffic Flow Prediction @topic:28


Privacypreserving blockchainbased federated learning traffic flow prediction present deep learning widely applied TFP learn generic traffic flow features improve prediction performance . However deep learning algorithms generally @topic:24


Machine learning framework predict reverse flow water level case study Tonle Sap Lake artificial intelligence AI techniques led new ML methods named deep learning . best model results necessitates tradeoff number learners maximum @topic:23


application machine learning logistics performance prediction economics attributebased collective instance prediction ML algorithms incorporate AI systems attempt extract patterns acquired past data—a process known training learning tradeoff prediction @topic:24


Prediction interpretation daily NFT DeFi prices dynamics Inspection ensemble machine learning XAI use Shapash ’ library Python two explainable AI components directional changes useful insight context trading purposes . Investors @topic:13


Forecasting stock market prices using machine learning deep learning models systematic review performance analysis discussion implications tools forming powerful trading platform . due boom artificial intelligence machine learning oftheart machine learning deep learning techniques @topic:13


Highfrequency direction forecasting futures market using machinelearningbased method predicted conducted highfrequency trading forecasting ability 45 . development successful application artificial intelligence many machine learning @topic:13


Deep learning based shortterm air traffic flow prediction considering temporal–spatial correlation order improve accuracy stability air traffic flow prediction endtoend deep learningbased model proposed paper . analyzing spatial correlations @topic:24


Artificial intelligence machine learning approaches energy demandside response systematic review AI approaches identified key tool addressing challenges power systems . AI used forecast ensures every trade meets grid constraints . @topic:26


new generation AI review perspective machine learning technologies applied smart energy electric power systems AI 2.0 machine learning ML forms typical representative algorithm category used achieve predictions judgments analyzing learning entire energy trading process . @topic:26


Knowledge discovery cryptocurrency exchange rate prediction using machine learning pipelines approaches AI algorithms deep learning proposed many research works recent technologies 171819 showing price formulation behavior trading . @topic:40


Application machine learning techniques stock market prediction Phase III utilize three AI techniques predict stock movement . trade volume ie Target 5 . DT model could predict decreases trade volume ie predictions @topic:13


Machine learning based explainable financial forecasting use explainable artificial intelligence XAI predict stock Zacks Analyst reports final trading day 2021 trading capitals demand accurate prediction @topic:28


prediction model spot LNG prices based machine learning algorithms reduce fluctuation risks purchasing prices crude oil price predictions application artificial intelligence AI techniques . spot LNG trading region sellers buyers generally check day ’ JKM @topic:26


Artificial intelligence machine learning energy systems bibliographic perspective applications energy efficiency utilization Blue Machine learning related methods Forecasting Yellow Algorithms pattern recognition @topic:26


Sediment load prediction Johor river deep learning versus machine learning models AIbased models long shortterm memory LSTM artificial neural network ANN support vector machine SVM predicting measures trade loss @topic:23


Machine learning knowledge risk principalagent problems automated trading ML make predictions previously unseen data trading trading significant additional advances explainable AI nets arrive predictions central challenges @topic:28


LTSMF long term stock market price trend prediction using optimal hybrid machine learning technique measurementbased technique anticipating machine learning stock price changes . hybrid machine learning technique longterm stock market price trend prediction LTSMF @topic:13


Machine learning Belief RuleBased Expert Systems predict stock price movements machine learning ML artificial intelligence AI trade entered always exits trade predicted optimal day matter price movements end trade @topic:13


Stock trend prediction Based machine learning methods manual work artificial intelligence . Second deep learning achieved great progress thesis lowlatency trading taking consideration common @topic:13


Machinelearningbased prediction resource allocation optical data center networks Thus paper use machine learning mainly predict predicted traffic scenario without enabling DFAI fea Furthermore introduce predictive static DFAI @topic:25


Dow Jones Trading Deep Learning Unreasonable Effectiveness Recurrent Neural Networks . several studies use classic mining artificial intelligence techniques forecasting results using DJIA reference . purpose using deep learning @topic:13


Predicting stock market using machine learning Long shortterm memory useful way direct stock trading . Long shortterm memory therefore help forecast financial time series learning new artificial intelligence machine learning @topic:13


Applications AIBased forecasts renewable based electricity balancing markets AI based forecasts EBMs investigated . Section V importance deriving value form trading strategies risk management plans AI reinforcement learning @topic:26


FOREX trend analysis using machine learning techniques INR vs USD currency exchange rate using ANNGA hybrid approach study attempts analyse applicability machine learning techniques predicting trading one actively traded markets world average daily trading @topic:13


deep learning model predicting buy sell recommendations stock exchange thailand using long shortterm memory AI research community . prediction techniques concentrate forecasting Opening closing prices highest lowest prices trading volumes external @topic:13


Machine learning techniques data stock market forecasting literature review 2 machine learning AI techniques review machine learning models used forecasting . conjunction machine learning improve predictive power @topic:13


Market Price Signal Prediction Based Deep Learning Algorithm @topic:13


Revolutionizing warehousing Unleashing power machine learning multiproduct demand forecasting changing needs complexities global trade commerce . initial phases Consequently Machine Learning ML branch Artificial Intelligence began carving @topic:24


Intelligent ” finance treasury management expect artificial intelligence machine learning robotic process uses AI create smart position achieve cash flow forecast . algorithms regression analysis predict trading @topic:13


Ship trajectory prediction based machine learning deep learning systematic review methods analysis Therefore necessary urgent conduct systematic analysis prediction ship trajectory prediction algorithms based machine learning deep learning methods @topic:24


Automated stock price prediction using machine learning work propose automated trading system integrates mathematical functions data predict future stock price movements study applied different AI techniques @topic:13


AIenhanced offloading edge computing machine learning meets industrial IoT AI technologies play significant role IIoT . example IIoT predictive maintenance relies machine learning tailor AIbased computing service trade @topic:24


machine learning trading system stock market based Nperiod MinMax labeling using XGBoost stock price trend prediction addition generating trading outperformance compared Conversely artificial intelligence technologies rarely require assumptions @topic:13


time series model based deep learning integrated indicator selection method forecasting stock prices evaluating trading profits system complex information system stock trading system machine learning artificial intelligence . Previous time series models widely used forecast @topic:13


Explainable AI financial forecasting machine learning automatic feature selection process support decisions financial forecasting include prediction step MultiCharts trading platform @topic:28


Deep reinforcement learning approach trading automation stock market stock market forecasting intelligent decisionmaking mechanism paper demonstrates superiority DRL financial markets types machine learning @topic:13


Prediction Model Real Estate ROI LSTM Model based AI Bigdata based artificial intelligence deep learning predict real estate Data actual trading prices apartments trading price prediction results exhibited upwards @topic:13


deep learning predict risky retail investors case study financial risk behavior forecasting Using data spreadtrading market predict profitability individual traders . Beyond utility policy spreadtrading company trader risk prediction @topic:13


Advancing fusion machine learning research needs workshop report Machine learning artificial intelligence MLAI methods areas disruption prediction surrogate model generation careful consideration tradeoff computational @topic:24


Hydrocarbon production dynamics forecasting using machine learning stateoftheart review rapid development artificial intelligence AI technology HPF models based machine learning Machine learning ML kind artificial algorithm enables @topic:24


Traffic prediction using artificial intelligence Review recent advances emerging opportunities IoT novel machine learning techniques secure wireless connectivity information sharing schemes potential impact predict manage traffic @topic:24


Machine learning classification prediction wind estimation using artificial intelligence techniques normal PDF Finally paper used machine learning 24 classifier algorithms purpose predicting suitable parameters site based previously trained data based k @topic:24


Forecasting Bitcoin prices using artificial intelligence Combination ML SARIMA Facebook Prophet models time series machine learning perform prediction bitcoin LSTM component Deep Learning DL finding forecasts utilized traders order develop trading @topic:40


Emotional artificial neural networks gaussian processregressionbased hybrid machinelearning model prediction security privacy effects Mbanking … mbanking services cryptocurrency trading payment goods prediction ability machine learning approaches study AIbased models predict @topic:13


Revolutionizing Stock Trading Impact AI DecisionMaking Efficiency machine learning techniques stock market prediction integration Artificial Intelligence AI stock trading leveraging machine learning deep learning techniques AI @topic:13


Sailing COVID‐19 Crisis Using AI Financial Market Predictions forecasting . Immense literature attempted apply AI machine learning predicting 66 study another theme concerned field trading volume asset @topic:13


efficient prediction model based machine learning techniques prediction stock market dataset collected Bloomberg platform trading stocks accurate forecasting employing artificial intelligence applying machine learning @topic:13


Peertopeer energy trading mechanism based blockchain machine learning sustainable electrical power supply smart grid blockchainbased predictive energy trading platform provide energy trading smart contract enabled predictive analytics trading control reward model unchangeable energy @topic:26


Machine learning approach spatial modeling ridesourcing demand Artificial Intelligence AI researchers started utilize machine learning models forecast Apparently exists tradeoff prediction accuracy interpretability @topic:24


AIbased machine learning methods urban real estate prediction systematic survey trading volume prediction model discussed 48 using ARIMA RNN . 62 used ARIMA neural network model sample 21 leading European office markets @topic:28


Deep learning enabled financial crisis prediction model smallmedium sized industries machine learning ML artificial intelligence AI based expert systems Support Vector Machines network predicting final price trading components . @topic:13


Stock market prediction using machine learning techniques decade survey methodologies recent developments future directions Advanced trading models enable researchers predict market using nontraditional systematics machine learningbased approaches stock market prediction based @topic:13


deep learning based stock trading model 2D CNN trend detection paper trading calculating final capital . also compare method ’ performance commonly used classical trading strategies . results indicate predict @topic:13


deep learning framework predicting digital asset price movement tradebytrade data Abstract—This paper presents deep learning framework first use tradebytrade data predict shortterm nearly year tradebytrade data . optimal model delivers @topic:13


Stateoftheart development twowaves artificial intelligence modeling techniques river streamflow forecasting versed different kinds artificial intelligence models optimize artificial intelligence techniques river streamflow forecasting begin basic machine learning @topic:23


Forecasting commodity prices empirical evidence using deep learning tools artificial intelligence field includes machine learning deep learning . commodities indices indicate attractive risk–return trade commodity markets . @topic:24


novel hybrid model combining fuzzy inference system deep learning method shortterm traffic flow prediction experiments performed seek tradeoff feature extraction ability model accuracy . Finally analyse noise reduction effectiveness fuzzy inference @topic:26


Hybrid Forex prediction model using multiple regression simulated annealing reinforcement learning technical analysis deep learning RL algorithm forecasting short investment highfrequency trading HFT algorithm . artificial intelligence signal processing machine learning @topic:13


domainoriented analysis impact machine learning—the case retailing natural fit application AI ML tools . article using deep learning DL actively predict shelfout save significant costs trading trading operations . @topic:28


Gold price prediction using machine learning model trees business involved global trade turn gives based machine learning algorithms predict gold times Artificial intelligence Machine learning @topic:13


Energy forecasting robust flexible explainable machine learning algorithms power grid planning management well electricity trading . AI platform tackle energy forecasting problems using robust flexible explainable machine learning algorithms @topic:26


Support vector machine algorithms application ship price forecasting predictions different vessel types shipping markets incorporating recent developments dynamic field artificial intelligence machine learning efficient world trade flow @topic:24


Predicting money laundering using machine learning artificial neural networks algorithms banks calls employ artificial intelligence AI build learning algorithms detect money form computational intelligence transformative AI techniques help @topic:28


Predicting nepse index price using deep learning models utilize developed model additional tool better investment trading decisions . rapid advancement artificial intelligence machine learning techniques availability @topic:13


systematic survey AI models financial market forecasting profitability analysis focused recent advances Forex prediction using machine learning algorithms . Keyword derive predictive models extensive datasets affecting trade execution alpha @topic:13


Predicting stock stock price index movement using trend deterministic data preparation machine learning techniques paper addresses problem predicting direction movement stock stock price index Indian stock markets . study compares four prediction models Artificial Neural @topic:13


Machine Learning Algorithms Prediction Stock Market Systematic Literature Review AIML algorithms designed tackle different aspect stock market prediction stock volatility trading volume specific timeframes . Utilizing range ML @topic:13


Practical machine learning Forecasting daily financial markets directions machine learning prices direction forecasting defining dependent variable useful trading current day prices actually known trading decision made . Finally third @topic:13


Prospects challenges machine learning datadriven methods predictive analysis power systems review machine learning datadriven methods predictive analyzing historical data machine learning algorithms machine learning artificial intelligence @topic:26


Forecasting Trading Stable Cryptocurrencies Machine Learning Deep Learning Algorithms Market Analytics current research interests include artificial intelligence machine learning deep learning big data analytics parallel distributed computing . focus lies applying @topic:40


JENGA framework study impact data errors predictions machine learning models simulation experience balance crossorganization tradeoffs competing interests Applied Scientist background AI Gen AI Machine Learning NLP help build @topic:30


Application deep learning stock market valuation index forecasting Abstract—Deep learning core technology artificial intelligence higher many trading days used predict PE ratio next trading day @topic:13


Machine learningbased design support system prediction heterogeneous machine parameters industry 4.0 artificial intelligence machine learning algorithms . algorithms able predict approaches DT KNN NCFS viably introduced tradeoff @topic:23


AIbased financial transaction monitoring fraud prevention behaviour prediction Abstract study explored application deep learning techniques credit medium financial transactions financial institutions collect trading behavior @topic:28


Machine Learning Role Stock Market Prediction Regardless significance artificial intelligence AI whole one newest novel method stock forecast assortment whitethorn change way trade ML @topic:28


Practical automated machine learning Azure using Azure machine learning quickly build AI solutions deeper machine learning process using houseprice prediction example . problem covering exploration–exploi‐tation tradeoff dilemma modeling agent @topic:24


Shortterm forecasts streamflow UK based novel hybrid artificial intelligence algorithm particular predictions obtained ensemble Machine Learning flow forecasting three reference rivers chosen evaluate performance different forecasting @topic:23


applicability selfplay algorithms trading forecasting financial markets terms AI Machine Learning ML used interchangeably . However AI broader ML datadriven way achieve AI one . Similarly big data @topic:13


Stock trading cycles financial application ANFIS reinforcement learning artificial intelligence model employs Adaptive Network Fuzzy Inference System ANFIS supplemented use reinforcement learning tool predicting stock cycles @topic:13


Designing AI‐aided analysis prediction models nonprecious metal electrocatalyst‐based proton‐exchange membrane fuel cells AIprovided research suggestions noteworthy . addition ANN identified various machine learning methods could nicely predict potential tradeoff @topic:23


Deep learningpowered vessel trajectory prediction improving smart traffic services maritime Internet Things prediction methods widely employed practical applications . rapid developments data mining AI technologies deep learning energylatency trade . @topic:24


Machine learning predictive technology impact digital pricing cryptocurrency markets trading applying machine learning approaches indicators measuring money flow index . Machine learning approaches AIbased trading attracted global @topic:13


Daily water flow forecasting via coupling SMAP deep learning However tradeoff choosing given model . Complex models may provide Achari Predicting river flow using AIbased sequential adaptive neurofuzzy inference @topic:23


novel machine learning model predicting late supplier deliveries lowvolumehighvariety products application German machinery industry use big data Artificial Intelligence digital purchasing process early prediction would good tradeoff time prediction @topic:24


Applications deep learning stock market prediction recent progress stock trading powered latest deep learning models artificial intelligence represented deep learning deep learning techniques stock market prediction @topic:13


Interval forecasting financial time series accelerated particle swarmoptimized multioutput machine learning system success forex trading ability predict accurately market fluctuations . AI machine learning support vector machine SVM model . Recently support vector machine @topic:13


Forecast Chemical Export Trade Based PSO‐BP Neural Network Model definition artificial intelligence milestone attempt deep learning everywhere daily lives face recognition recommendation systems . Artificial intelligence @topic:28


Risk Assessment Management Stock Trading using Artificial Intelligence deep learning models improve prediction accuracy2526 . application artificial intelligence AI stock trading Even AI assistance stock trading challenging endeavor @topic:13


Intelligent candlestick forecast system financial timeseries analysis using metaheuristicsoptimized multioutput machine learning Motivated highly unstable stock market targets continuous trading system price timeseries forecasting system includes optimal multioutput AIbased model @topic:13


systematic investigation integration machine learning supply chain risk management agility machine learning ’ artificial intelligence ’ predictive analytics ’ . automotive supplier HELLA one largest trade organizations vehicle parts @topic:24


ThreeDimensional Approach Stock Prediction Using AIML Algorithms Review Comparison classification Deep learning algorithm derive various trade . Neural Network LSTM LevenbergMarquardt algorithm used sentimental transfer learning predict @topic:13


Deep learningbased feature engineering stock price movement prediction prediction signalbased trading simulation tasks Chinese stock market index CSI 300 . Experimental results show network outperforms traditional machine learning @topic:13


AIenabled stock prediction platform combining news social sensing financial statements financial forecasting modelbased trading machine learning deep learning algorithms found achieve better results stock market prediction @topic:13


Enhancing Intraday Trading Machine Learning NSE Nifty 50 Analysis AIML also led development algorithmic trading strategies automating trades based realtime analysis 6 . Forecasting predictive capabilities devising strategic trading @topic:13


Network Traffic Prediction Model Considering Road Traffic Parameters Using Artificial Intelligence Methods VANET review show model expecting network trade trade settled two together composition trade line trade . deep learning calculations third step predict flow @topic:24


Towards physicsinformed deep learning turbulent flow prediction deep learning methods incorporate physical laws systematic manner key element advancing AI worth mentioning subtle tradeoff RMSE @topic:23


artificial intelligence machine learning suitable tackle COVID19 impacts agriculture supply chain perspective need ensure availability reliable information food trade measures help AIML enabler accurate prediction uncertainty ASC . Thus @topic:25


Demand forecasting model using deep learning methods supply chain management 4.0 logistics Supply Chain Management 4.0 general also give overview AI deployed SCM field . Section III describe methodology adopted @topic:24


Machine Learning Used TradingSWKS Stock Forecast reinforcement learning suitable modeling learning various kinds interactions real situations problem stock price prediction AIdriven stock analysis forecasting . @topic:13


Predicting bitcoin BTC price context economic theories machine learning approach found Bitcoin appreciates long run used trade ie non One popular subfields artificial intelligence machine learning hotly debated . @topic:40


Predicting reactions anomalies stock movements using feedforward deep learning network statistical learning includes data mining machine learning artificial intelligence complete cycle algorithmic trading systems need implement @topic:13


Machine learning techniques stock price prediction graphic signal recognition Similarly forex trading data like USDJPY XAUUSD taken historical data 20201221 220000 20211115 150000 latest four periods data @topic:13


Deep learning intelligent assessment financial investment risk prediction mining process massive data financial risk artificial intelligence machine learning deep learning process exchange swiftness prediction foreign trade @topic:13


Machine learning model approaches price prediction coffee market using linear regression XGB LSTM techniques different ways predict price using Artificial intelligence paper commodity futures term structure trading flows . Furthermore dispersion analysts @topic:13


Evaluating performance machine learning algorithms financial market forecasting comprehensive survey machine learning traditional stochastic models . Practicalmethodical studies machine learning trading key terms ” Artificial Intelligence Financial forecasting ” ” Machine @topic:13


intelligent fusion model portfolio selection machine learning stock market prediction rapid rise AI machine learning last decade increasing machine learning platforms improve predicting performance decrease bias variance trade @topic:13


CryptoNet Using AutoRegressive MultiLayer Artificial Neural Networks Predict Financial Time Series potential artificial intelligence AI machine learning ML application machine learningbased algorithms price forecasts useful financial trading . @topic:13


Cellular traffic prediction machine learning survey prediction models artificial intelligence categorized statistical machine learning deep learning Various applications based cellular traffic prediction summarized @topic:24


threestep machine learning framework energy profiling activity state prediction production estimation smart process manufacturing Machine learning ML subset artificial intelligence AI applied computational technique ability process tradeoff chart details algorithm @topic:26


Price prediction bitcoin using machine learning development Machine learning AI assisted trading use machine learning AIassisted trading . store 1500 crypto currencies actively trading @topic:40


Predicting process behaviour using deep learning artificial intelligence AI machine learning . bring together historic process data AI learning similar quality tradeoffs process model mining deep learning also @topic:24


Machine learning energy economics finance review predicting energy prices eg crude oil natural gas power demand forecasting risk management trading Results show CSDAI learning paradigm significantly superior @topic:26


Towards explainable AI Design development explanation machine learning predictions patient readmittance medical application introduces tradeoff begs question require incredibly accurate PwC define gap analysis approach understanding working tradeoff . @topic:30


Artificial intelligence machine learning Current applications real estate define machine learning artificial intelligence investor real estate audience examine ways new analytic predictive define tradeoffs @topic:28


Machines new OompaLoompas trade secrecy cloud machine learning automation noted opaqueness predictive models developed machine learning either One development worth following context artificial intelligence development @topic:30


Passenger flow prediction using smart card data connected bus system based interpretable xgboost flow prediction past ten decades . breakthrough artificial intelligence passenger flow prediction traditional statistical models machine learning models . @topic:24


Carbon emissions allowances trade amount dynamic prediction based machine learning machine learning supposed useful creative method maNe carbon emissions allowances trade predictions combine machine learning fields liNe AI solve @topic:24


Machine learning deep learning AI distinguish machine learning algorithms ii Moreover outlined often several trade produce explanations output predictions . image data @topic:25


Stock Prediction Using Machine Learning Algorithms using Artificial Intelligence Machine learning detect fraudulent banking transactions predict stock markets also find many algorithmic based trading systems @topic:13


Machine learning combustion machine learning usage aiding chemical reactions combustion modeling combustion measurement engine performance prediction tradeoff @topic:23


Artificial intelligence machine learning finance Identifying foundations themes research clusters bibliometric analysis Artificial intelligence AI machine learning ML AI ML research finance . Using cocitation bibliometriccoupling analyses infer thematic structure AI @topic:28


Machine learning active portfolio management trade execution reinforcement learning expected advantage machine learning model predictions eco listed US markets implement AIdriven strategies . @topic:13


Hierarchical deep learning neural network HiDeNN artificial intelligence AI framework computational science engineering reduce necessity large amount data get accurate prediction . knowledge deep learning predict spine curvature . machine learning tools @topic:29


stateofartreview machinelearning based methods PV forecast data 56 use increase efficiency solar panels 7 . AI ML solutions already available predict wind PV energy production predictive @topic:26


Multilevel federated learningbased intelligent traffic flow forecasting transportation network management deep learning model devised Multilevel Federated data achieving tradeoff communication Proceedings AAAI conference artificial intelligence @topic:24


AIbased evaluation system supply chain vulnerabilities resilience amidst external shocks empirical approach Machine Learning ML Deep Learning DL models . include linear regression deep learning CNN networks designed predict balancing tradeoff @topic:24


Dhaka Stock Exchange stock price prediction using Machine Learning Deep Learning Models stock data trade volume current pricing . makes stock price prediction using various machine learning algorithms predictions implemented explainable AI models @topic:13


comprehensive survey machine learning networking evolution applications research opportunities traffic engineering discuss traffic prediction classification routing fundamental providing differentiated prioritized services . performance optimization @topic:25


Deep learningbased approach forecasting intermittent online sales Forecasting demand intermittent online sales task sales proposes AIbased model forecasting demand . trade investigates efficacy AI methods @topic:28


Machine learning demand forecasting supply chain performance Figure 1 shows tradeoff level sophistication cost accuracy . research evidence using AI demand forecasting providing empirical evidence @topic:24


Tricks forecasting trade 1950s AI machine deeplearning methods . Nevertheless machine learning methods testing prediction intervals forecasting team competitions via hybrid machine @topic:28


Machine learning tools prediction fresh produce procurement price However many factors income labor trade Two artificial intelligencebased forecasting tools ie single paper developing AIMLbased forecasting tools @topic:25


Artificial intelligence electricity supply chain automation analysis forecasting management trading within electrical Given Deep Learning DL techniques became Section 2.4 examine Deep Reinforcement Learning @topic:26


Communicationefficient crosschain empowered federated learning artificial intelligence things trading markets design dynamic pricing scheme using machine learningbased auction model trading . blockchainbased federated learning traffic flow prediction ” Future @topic:24


HandsOn Machine Learning Algorithmic Trading Design implement investment strategies based smart algorithms learn data using … goals data AI strategy builds data science teams learning satellite image data predict economic activity . Finally apply reinforcement learning optimal trading @topic:13


Predicting Income Groups Number Immigrants Using Machine Learning ML trade pandemics spread diseases public policy development . help apply AI techniques methods migration issue predict income groups @topic:25


Forecasting multinomial stock returns using machine learning methods Directional prediction stock returns leads simple binary trading strategies compare predictive ability several different machine learning methods @topic:13


Artificial intelligence ETF market prediction portfolio optimization different machine learning deep learning forecasting methodologies utilize machine learning model forecasting trend 2018 entire years 250 trading @topic:13


Detecting failures optimizing performance artificial lift using machine learning models machine learning artificial intelligence algorithms diagnose types events gradual evolutionary process machine learning algorithms diagnose predict @topic:23


Machine learning smart environments B5G networks Connectivity QoS Artificial Intelligence AI created opportunities make traffic flow prediction 196 parking availability prediction tradeoff computation energy requires @topic:24


Enhancing Financial Performance AIdriven Predictive Analytics Reciprocal Symmetry artificial intelligence known machine learning defined process AI technology help optimize tradeoffs offering scenario studies datadriven @topic:28


Robotic process automation stock selection process price prediction model using machine learning techniques @topic:13


Novel approach predicting groundwater storage loss using machine learning purpose introduce novel approach using Artificial Intelligence AI machine learning ML . methodology involves water budget variables easily accessible @topic:23


investors informed trading predict cryptocurrency returns Evidence machine learning machine learning algorithms applied predict asset prices predicted stock returns various time series models . Machine learning subset artificial intelligence @topic:40


Stock market prediction using machine learning trading programs developed simulated using Quant . past decades various machine learning Artificial Intelligence AI Machine Learning ML quite @topic:13


Assessment spatiotemporal prediction capabilities machine learning algorithms Sea Surface Temperature data comprehensive study Since aim study evaluate performance ML algorithms spatiotemporal prediction process regardless observation technology study data @topic:24


Machine learning new ideas tools environmental science engineering related location sites seen geographic spacebased predictions predicting arsenic concentrations groundwater different sites . 49 @topic:23


Theoretical approaches AI supply chain optimization Pathways efficiency resilience paper delves evolution AI techniques supply chain AI applications . key focus paper lies application machine learning techniques demand forecasting @topic:24


efficient realtime stock prediction exploiting incremental learning deep learning fair accuracy useful enough intraday trading . Deep learning models effective stock forecasting use deep learning models realtime forecast high @topic:13


Predicting agriculture yields based machine learning using regression deep learning geographic information systems GIS artificial intelligence AI blockchain remote sensing NonBasmati trade exports 150 countries . Trade ministry data showed @topic:25


COVID19 pandemic artificial intelligence–based system deep learning forecasting automatic statistical data acquisition development … four statistical deep learning techniques forecasting forecast whereas earlier records served training set . explore variations trends forecasts related COVID @topic:25


Edge computing artificial intelligence machine learning perspective widespread application AI especially ML clearly new generation AI algorithm eg deep learning DL make prediction . Note advantages @topic:24


Prediction realized volatility implied volatility indices using AI machine learning review use AI machine learning predicting realized volatility efficacy AI machine learning volatility forecasting trade uncertainty improved overall forecasting performance @topic:13


Call maybe Methods practical implementation artificial intelligence call center arrivals forecasting Random forest balances tradeoff model complexity forecast accuracy . process programming environment accessible nonmachine learning experts @topic:28


Forecasting European trade mark design filings innovative approach including exogenous variables IP offices events time series forecasting techniques based artificial intelligence machine learning proposed machine learning techniques allowed construction algorithms @topic:28


Cryptocurrencies artificial intelligence Challenges opportunities challenges related trading process like price trend prediction Box plot accuracy machine learning techniques used price prediction @topic:40


Predicting successful trading West Texas Intermediate crude oil cash market machine learning natureinspired swarmbased approaches ensemble technique individual artificial intelligence model order enhance accuracy predictions . order validate findings forecast conducted using @topic:24


machine learningbased model asymmetric prediction accounting financial information machine learning algorithm predicting information study proposes artificial intelligence AI model predicting trading systems highlight need account machine @topic:13


Bitcoin price prediction using machine learning approach sample dimension engineering Integrating gold spot price regular features property network trading market machine learning algorithm develop higherdimensional features avoid @topic:40


Multioutput machine learning addressing tradeoff water permeability wetting resistance membrane distillation predicting performance MD process offers mechanistic insights wetting resistancewater permeability trade type explainable artificial intelligence XAI @topic:23


Machine learning deep learning models applied photovoltaic production forecasting efficient tradeoff photovoltaic source fields Zero Energy Buildings ZEB different Artificial Intelligence methods developed forecast photovoltaic production . @topic:26


Universal features price formation financial markets perspectives deep learning models machine learning price prediction models prediction midprice movements using order flow data . Determining whether predictability leads profitable trading @topic:13


Coupling machine deep learning explainable artificial intelligence improving prediction groundwater quality decisionmaking Arid Region Saudi … leveraging AI XAI proposed framework provides powerful tool accurate WQI prediction also offers deep insights models enabling informed decision @topic:23


Using deep learning price prediction exploiting stationary limit order book features trading also led automation trading operations magnified volume exchanges producing wealth data . Deep Learning conventional Machine Learning @topic:13


datadriven hybrid ensemble AI model COVID19 infection forecast using multiple neural networks reinforced learning deep learning models proved reliable promising tool data prediction focusing potential applying deep learning predict COVID19 infection @topic:25


review machine learning satellite imagery poverty prediction Implications development research applications predictive power welfare number preprocessing steps employed number datasets used type welfare indicator targeted choice AI Given tradeoff @topic:25


Artificial intelligence based prediction models sales forecasting application automotive aftermarket trade volume automotive parts 685 billion USD trade prediction models presented Section 2 gather information regarding statistical models machine learning @topic:28


Predicting beating stock market machine learning technical analysis artificial intelligence learns exposed new data . Machine Learning used predict conclude using machine learning trading strategy positively impact @topic:13


Machine learning applications hydrology typical machine learning algorithms prediction Artificial Intelligence Tesla calling machine learning variance tradeoff key concept machine learning @topic:23


ETH analysis predictions utilizing deep learning Traderium world ’ first AI assisted trading platform . prediction Ethereum ’ closing price utilizing deep learning cryptocurrency forecasting platform collects real time @topic:40


Machine Learning Derivatives Trading Really Work misalignment market predictions actual trading tactics . expected trading outcomes based AI predictions machine learning treats data generation process @topic:13


Artificial intelligence machine learning chemical sciences process differences predicted target outputs compared find neuron ’ contribution errors . numerical optimization technique called @topic:23


Stock market prediction using deep reinforcement learning cuttingedge technologies like artificial intelligence AI sentiment analysis machine informed decisions based predictions crucial successful trading strategies . @topic:13


Stock market prediction Nifty 50 index applying machine learning techniques Overall metrics try measure predictive power models also tradeability critically important us intend use models @topic:13


Machine learning technologies internet vehicles Therefore necessary tradeoff accuracy prediction temporary storage AI V2X enables new approaches many applications like traffic flow prediction @topic:24


Predicting citywide crowd flows using deep spatiotemporal residual networks Deep learning 4 used successfully many applications flow prediction problem . Section 3 describes proposed deep spatiotemporal residual networks predicting @topic:24


Machine Learning industrial applications comprehensive literature review Machine Learning ML branch artificial intelligence forward demonstrated Deep Learning DL algorithms model detect process failures predict quality level @topic:23


Application Machine Learning Algorithms Short term Load Prediction Smart grid load forecasting . Section 3 discus general introduction Artificial intelligence Machine Learning maintenance work Smart home initiatives forecasting trading etc . @topic:26


Computation offloading energy delay tradeoffs traffic flow prediction edge computingenabled iov deep reinforcement learning DRL 18 based computation offloading method assisted traffic flow prediction RELATED WORK rise artificial intelligence arrival @topic:24


M3DISEEN novel machine learning approach predicting 3D printability medicines solely inputting pharmaceutical excipient trade names . Therefore explore AI machine learning techniques increase efficiency FDM formulation development process @topic:23


Machine learning earth system observation prediction AI ie integration physical domain knowledge statistical formulation MLDL models trustworthy explainable AI ensemble prediction system EPS tradeoff @topic:23


Development artificial intelligence powered TIG welding algorithm prediction bead geometry TIG welding processes using hybrid deep learning trade AI technique work presents development AI TIG welding algorithm selecting control parameters predict desired weld bead width using fuzzy deep learning . @topic:23


Profit margin prediction sustainable road freight transportation using machine learning market conditions competitor actions trade margins businessoriented companies subdiscipline Artificial Intelligence AI make inferences existing @topic:24


Deep learning stock market—a systematic survey practice backtesting applications deep learning technique choice various domains including finance . systematic survey explores various scenarios employing deep learning trade strategy price prediction @topic:13


Machine learningbased CFD simulations review models open threats future tactics minor features leading tradeoff accuracy CFD predict flow based machine learning . Two parameters study compares CFD artificial intelligence @topic:23


Forecasting trading volume local housing markets timeseries model deep learning algorithm artificial intelligence . studies various stateoftheart models utilized deep learning approach used forecast house trading volumes enhance predictive @topic:13


Machine learning algorithms financial asset price forecasting Machine Learning Artificial Intelligence illdefined current literature 53 shall use classic definition provided 54 defines Artificial Intelligence trading @topic:28


Machine learning based hybrid system imputation efficient energy demand forecasting deep learning artificial intelligence methodologies hybrid energy forecasting model based machine learning exchange responsible power trading process @topic:26


study forecasting stocks price using deep Reinforcement Learning Intraday stock price volatility high using results research trading may result reduced returns investors hold many stocks periods reduced @topic:13


Financial Market Sentiment Prediction Technology Application Based Deep Learning Model contrast rulebased AI machine learning trading market problem formulation stock trading solve stock trading problem considering stock trading process @topic:13


Practical machine learning Since field Machine learningArtificial Intelligence simple terms historical data observations used predict Stock trading means predicting stock performance @topic:28


AI inline vehicle sequence controlling development evaluation adaptive machine learning artifact predict sequence deviations mixedmodel … assess AIartifact well prediction stability include continuous learning module counter data drifts . show 50 major deviations predicted @topic:24


Forecasting SMEs credit risk supply chain finance enhanced hybrid ensemble machine learning approach needs forecasting . Many researchers argue machine learning ML approaches SCFspecific factors instance features trade goods CEs profit @topic:28


Optimizing Securities Trading Scalable Cloud Computing Advanced AI Global Financial Markets trading strategies decisionmaking processes . AI technologies machine learning predictive patterns forecast market trends generate actionable insights . @topic:13


Stock Market Prediction Techniques Artificial Intelligence models facilitate investors guide stock trading decisions AI infallible . article highlights utility AI stock prediction well potential . Deep learning– @topic:13


Efficient prediction future stock values Gann square using machine learning algorithm forecast price maneuver dependent value pattern analysis period also used intraday online trading AI Prediction includes something like three totally related layers @topic:13


Analysis news sentiments using natural language processing deep learning possible trade news sentiment deep learning DL deep learning model financial forecasting case original dataset T0 gives us 2267 trading dates @topic:13


Deep learning long shortterm memory networks financial market predictions focus deep learning exploring potential largescale time series prediction Generally find stocks selected trading exhibit high volatility belowmean @topic:13


Empirical mode decomposition using deep learning model financial market forecasting predictive model deep learning based analysis massive financial trading data forecast continuous optimization deep learning algorithms AI dramatically @topic:13


Artificial intelligence machine learning 5G beyond survey perspectives order make classification prediction state easier deep learning constructs According 15 primary problem power amplifiers known tradeoff @topic:24


Forecasting trading Bitcoin machine learning techniques hybrid volatilitysentiment leverage machine learning algorithms narrative sentiments applied task forecasting trading results suggest machine learning techniques always outperform @topic:40


Deep learning construction industry review present status future innovations Artificial Intelligence AI Big Data machine learning statistical tradeoff exists bias – closeness learning design cash flow prediction project risk analysis . @topic:24


improved technique stock price prediction realtime exploiting stream processing deep learning computerised trading system incorporates machine learning order enhance stock forecast accuracy carry forecasting stocks next day price using Artificial Intelligence @topic:13


Optimizing Portfolio Management Risk Assessment Digital Assets Using Deep Learning Predictive Analysis successfully introduce deep reinforcement learning DRL use deep Q learning DQN algorithm make asset trading artificial intelligence computer vision based deep @topic:13


Using supervised machine learning B2B sales forecasting case study spare parts sales forecasting aftersales service provider predict future demand using artificial intelligence forecasting two ways . First giving stepbystep guidance incorporating supervised machine learning B2B sales forecasting @topic:28


Smart Traffic Control Prediction Model Empowered 5G Technology Artificial Intelligence Machine Learning international trade AI machine learning Roads Transport Authority Dubai begun testing use artificial intelligence AI technology machine learning @topic:24


Machine learningand artificial intelligencederived prediction home smart energy systems PV installation battery energy storage configuration different parameters affect learning process . Balancing hyperparameter tuning computational cost tradeoff depends available resources @topic:26


Forecasting etfs machine learning algorithms machine learning algorithms applied predicting financial assets . specifically goal program AI throw profits learning predict range trading days @topic:13


Novel AIBased Stock Market Prediction Using Machine Learning Algorithm . system ignores intraday trading prices thus chose stocks give linear curves . stocks NSE divided sectors sector hundreds stocks . ere @topic:13


Machine learning predicting engineering yield N content specific surface area biochar derived pyrolysis biomass study attempted build machine learning models predict optimize specific tradeoffs three balanced multitarget ML prediction optimization @topic:23


Logical Investigation Stock Market Prediction Analysis using Supervised Machine Learning Algorithm Artificial Intelligence need Stock trading ’ future . Robotic advisers examine millions pieces data using artificial intelligence Machine learning used predict stock @topic:13


Artificial Intelligence Machine Learning Deep Learning Blockchain Financial Banking Services Comprehensive Review patterns forecasting price changes . Highfrequency trading platforms use deep learning technologies like artificial intelligence machine learning offer predictive analytics @topic:13


Probabilistic machine learning artificial intelligence variously use terms inference prediction forecasting refer general task . Bayesian approaches provide elegant way trading complexity model @topic:25


Load forecasting machine learning deep learning methods Artificial Intelligence AI techniques show much potential determine AI technique best forecasts electrical loads . suitable AI techniques modeling forecasting @topic:26


Artificial intelligence machine learning pathology present landscape supervised methods investigators seeking develop best AIML predictive model . quality data trade refers finding right balance bias variance machine learning @topic:29


Comparative Study SVM LSTM Deep Learning Algorithms Stock Market Prediction . artificial intelligence coupled boosted computational capabilities supporting automated methods forecasting refers trading conducted across various days @topic:13


Application artificial intelligence surface roughness prediction additively manufactured components machine learning AI deep learning techniques directions applying AI surface roughness prediction additively tradeoff significant particularly industries @topic:23


AI finance review reinforcement learning systems optimizing market making strategies enabling predictive market making predicting historical trading data machine learningenabled trading @topic:13


Performance evaluation deep learning boosted trees cryptocurrency closing price prediction Based high trading activity investors many scholars forecasting cryptocurrency prices using artificial intelligence cryptocurrency trading classification aim forecast @topic:40


Carbon market price prediction based sequence decompositionreconstructiondimensionality reduction improved deep learning model market trading process accurate carbon price prediction artificial intelligence technology machine learning prediction sequences especially deep learning models @topic:26


Water quality classification using machine learning algorithms AI algorithms assessed handle WQ data collected extended period develop dependable approach forecasting figure demonstrating tradeoff true @topic:23


Remaining Useful Life prediction challenges literature review use Machine Learning Methods removing duplicates screened title abstract 562 documents select specific group related AI datadriven models applied RUL prediction . @topic:23


Application deep reinforcement learning stock trading strategies stock forecasting theory deep reinforcement learning stock trading decisions stock price prediction current Artificial Intelligence methods become closer way humans think @topic:13


Reliable prediction models based enriched data identifying mode childbirth using machine learning methods development study artificial intelligence revolutionized every area life business trade social electronic media education learning machine learning maternity care AI @topic:30


Stock price prediction using artificial intelligence based LSTM–deep learning model forecasting models increased last decade . idea trading likely see rows machinelearning experts quietly sitting front computer @topic:13


Predictive maintenanceasaService PdMaaS using industrial internet things IIoT machine learning mechanical equipment used indian ship … International trade ships shipbuilding significant driver machine learning approaches IIoT platform . used AIbased predictive maintenance decide @topic:24


Stock market prediction using deep learning algorithm overview subdivision artificial intelligence ” AI train machines data use test data forecast future . financial data analysis trade execution strategies . @topic:13


Engineering MachineLearning Automation Platform EMAP BigDataDriven AI Tool Contractors Sustainable Management Solutions Plant Projects artificial intelligence AI big data technology increasing . purpose study predict making project stage using machinelearning ML technology based @topic:24


machine learning really work beginning shed light fundamental issues tradeoff among number Given timeseries data one often interested learning predict features occur @topic:28


comprehensive review artificial intelligencemachine learning algorithms empowering future IoT toward 6G era artificial intelligence AImachine learning ML enhancing future IoT network operations services . paper attempts discuss AI RNN predict traffic flow roads @topic:24


review application deep learning system health management systematic review artificial intelligence based system applied fault diagnosis prediction past every aspect tradeoff generality @topic:24


Machine learning technologies secure vehicular communication internet vehicles recent advances applications one AI methods known machine learning tradeoff accuracy prediction prediction procedures utilizing legacy traffic flow prediction @topic:24


introductory review deep learning prediction models big data Deep learning models stand new learning paradigm artificial intelligence AI machine learning . computational methodology underlying deep learning models @topic:25


Trade risk identification prediction using experts knowledge machine learning data methods artificial intelligence integration influenced better trade risk assessment . applying artificial intelligence techniques risk evaluation processes . Machine learning @topic:25


explainable machine learning pipeline stroke prediction imbalanced data artificial intelligence AI seems appropriate tool . present study aimed develop reliable machine learning ML prediction achieved best tradeoff FN @topic:29


Machine learning models potential application predict source water quality treatment purposes critical review Artificial intelligence AI used modelling water quality different purposes AI . first time critical review analyzed AI models founded machine learning @topic:23


Towards security defect prediction AI Loop analysis one domain tradeoff made . driven deep learningenabled approach predicting buffer task buffer overflow prediction synthetic code . @topic:28


Application supervised machine learning paradigms prediction petroleum reservoir properties Comparative analysis ANN SVM models advent Artificial Intelligence AI machine learning gained much popularity establishing relationship complex nonlinear datasets . type machine learning @topic:23


integration Big Data Analytics Artificial Intelligence enhanced predictive modeling financial markets feature particularly advantageous highfrequency trading algorithmic trading predictive model leveraged machine learning algorithms specifically deep learning neural @topic:13


Prediction Stock Price Using Machine Learning dependable tool financial expansion firm trade exchange stock market price prediction process Trade commerce two economic pillars @topic:13


Analysis prediction Indian stock market machinelearning approach algorithms based artificial intelligence deep learning algorithms prediction movement LSTM network make use historical closing prices tweets trading volume . @topic:13


comparative study feature selection techniques machine learning predicting stock market trends machine learning artificial intelligence enabled development better accurate prediction improve performance trading strategies reducing confusion @topic:13


open architecture complex event processing machine learning CEP predictive machine learning models . leverage machine learning ML artificial intelligence AI ML AI help identify stocNs whose historical trade prices @topic:13


Machine learning realtime prediction complications critical care retrospective study reflect frequently observed tradeoff process artificial intelligence systems must made available physicians . Opening often opaque machinelearning process @topic:29


Artificial intelligence ambiguous labor market impact automating prediction Blue J Legal uses machine learning predict outcome new fact scenarios trade activity much assume performed human labor . course increased trade @topic:25


Deep LSTM LSTMAttention Qlearning based reinforcement learning oil gas sector prediction research propose deep learning model architecture stock market trading combines LSTM Long ShortTerm Memory networks attention mechanism . @topic:13


Artificial intelligence agricultural value chain review future directions deep learning algorithm artificial neural networks various aspects water resource management yield prediction pricedemand forecasting AI storage trading . @topic:25