Predicting market movement direction bitcoin comparison time series modeling methods trading short periods 1 . bots supported using increasingly sophisticated artificial intelligence based complex machine learning machine learning prediction @topic:40


Applications artificial intelligence machine learning algorithms crystallization machine learning cheminformatics applications novel powerful means accelerate discovery new crystal structures predict bias versus variance tradeoff @topic:23


Prediction disease comorbidity using explainable artificial intelligence machine learning techniques systematic review use machine learningartificial intelligence predicting use machine learningartificial intelligence techniques keywords machine learningartificial intelligence comorbidity @topic:29


Prediction stock return LSTM neural network trading income maximize interests trading deep learning stock return prediction tool potential applying deep learning broader financial market prediction @topic:13


local explanations global understanding explainable AI trees prediction . apply tools three medical machine learning problems show wellknown biasvariance tradeoff machine learning implications @topic:30


integration knowledge graphs deep learning models comprehensible AI—Three challenges future research Deep learning models contributed reaching unprecedented results prediction classification tasks Artificial Intelligence AI AI research field trade @topic:25


Model selection evaluation machine learning deep learning materials processing artificial intelligence defining machine learning machine learning deep learning methods predicting crucial appreciate biasvariance tradeoff @topic:23


Machine learning techniques internet UAVs smart cities applications DL provides important role tradeoff prediction accuracy temporary AI based IoUAV together V2X enable intelligent applications traffic flow prediction @topic:24


Machine learning–accelerated computational fluid dynamics machine learning largescale physical modeling tasks like airplane design climate prediction . leads unfavorable tradeoffs accuracy tractability . use @topic:23


Machine learning models bankruptcy prediction Academics practitioners exploring artificial intelligence machine learning tools assess credit risk amid advances computer technology . Since credit risk analysis @topic:28


Explainable deep learning model stock price forecasting using textual analysis forecast stock prices using text analysis deep learning approaches explain models using explainable AI . Market return reversals trading volume predicted @topic:13


flexible machinelearningaware architecture future WLANs wireless communications toward AIbased systems reinforcement learning explorationexploitation tradeoff pattern prediction user requirement forecasts @topic:24


Deep learning using riskreward function stock market prediction experiment performed trading simulations using traditional trading strategies described Section 2 . compared results based proposed model . @topic:13


deeplearning natural language processing transcending financial forecasting Investigation lens news analytic process help deep learning AIbased models . prediction process . current model could specifically relevant trading system reshape prediction process @topic:13


Machine Learning Used TradingLON AJB Stock Forecast Artificial intelligence machine learning rapidly evolving fields study . However due probabilistic nature machine learning always possibility @topic:28


Artificial intelligence machine learning health systems cases deep learning algorithms able uncover associations predictive value property related health data trade health data public good @topic:29


Combining differentiable PDE solvers graph neural networks fluid flow prediction model name suggests provides tradeoff high cost ability generalize full CFD simulation low cost ability generalize GCN predictions . @topic:23


Incentivebased demand response smart grid reinforcement learning deep neural network uncertainties deep neural network used predict based DR algorithm artificial intelligence AI techniques participants resource trading process . Table 6 @topic:26


Artificial intelligence sustainable energy industry Status Quo challenges opportunities energy supply trade consumption dramatically . development machine learning model AI play systems eg solar radiation forecasting estimation solar cell @topic:26


Multiobjective optimisation hybrid machine learning strategy complex catalytic processes catalytic chemical process . validated continuum algorithm quickly predict process performance lumping kinetics model predict identify tradeoff curve @topic:23


Artificial intelligence machine learning technology driven modern drug discovery development Depending upon elimination process prediction paradigm trading firms capability execute AI field manner Business intelligent Smart Sales Prediction @topic:29


Explainable machine learning exploiting news domainspecific lexicon stock market forecasting Moreover devised Artificial Intelligence AI approach AI algorithms credit scoring fraud detection intrusion detection AI algorithms financial forecasting robotrading @topic:28


Explainable artificial intelligence deep learning analysis forecasting complex time series Applications electricity prices understand process auction trading dayahead market assume uncoupled German market one operating exchange . also assume @topic:26


Preventing crimes public health artificial intelligence machine learning capabilities artificial intelligence technology machine learning algorithms widely used various fields . Based background times paper applies machine learning predictions 1 @topic:30


comparative analysis Knearest neighbor genetic support vector machine decision tree long short term memory algorithms machine learning followed advantages major tradeoffs lastly subset subpart Artificial Intelligence AI associated computers able predict decide since @topic:25


Deep learning artificial intelligence sustainability review SDGs renewable energy environmental health powered community energy management system emphasizes peertopeer energy trading predict advancements deep learning techniques cost management @topic:26


digital twin train deep reinforcement learning agent smart manufacturing plants Environment interfaces intelligence based artificial intelligence industrial control process . perform control logics predict system behaviors decisionmaking process predictive system monitoring based @topic:24


comparative assessment machine learning methods predicting housing prices using Bayesian optimization Indeed investors creditors governments interested predictive artificial intelligence machine learning nonlinear statistical models house price prediction @topic:28


Prediction COVID19 cases using machine learning effective public health management emergency declaration trade travel AI potential design tools fight COVID19 . study utilized SSLPNN GPR predict @topic:30


assessing trustworthy AI healthcare . Machine learning supportive tool recognize cardiac arrest emergency calls process assess trustworthy AI called 1 ZInspection ® identify specific challenges potential ethical tradeoffs consider AI AI system predict cardiac @topic:29


Multistep carbon price forecasting using hybrid model based multivariate decomposition strategy deep learning algorithms Union Emissions Trading Scheme era deep learning algorithms exploration AI technology gradually attracted attention field carbon price forecasting @topic:26


Review research practice deep learning reinforcement learning smart grids AI 2.0 related technologies currently process DNN machine learning techniques predict shortterm Paper 26 presents new energy trading framework using @topic:26


Fundamentals materials machine learning polymer electrolyte membrane fuel cell technology Machine learning artificial intelligence AI powerful tool related AI machine learning deep learning Machine learning physicsinformed deep learning AI @topic:23


Flight delay prediction using deep learning conversational voicebased agents delay schedule planes potentially disrupt business trade Artificial intelligence machine learning deep learning major area research @topic:24


systematic literature review machine learning methods predicting court decisions performance assessments include specific tradeoff levels true positive true negative rates 63 . Table 6 summarises information regarding accuracy precision recall @topic:30


prediction model bitcoin cryptocurrency prices machine learning artificial intelligence aided trading piqued interest recent years . study suggests predicting strategy based machine learning predict price @topic:40


deep reinforcement learningbased method predictive management demand response natural gas pipeline networks predictive management multilevel natural gas markets different stakeholders . method able make better trade Thanks development Artificial Intelligence AI @topic:26


Stock price prediction portfolio selection using artificial intelligence trading patterns predict stock prices . Detecting trading patterns stock market forecasting computational machine learning models used stock price prediction many @topic:13


Deep learning eventdriven stock prediction propose deep learning method eventdriven stock market prediction . First events Exploration sophisticated trading strategies beyond scope paper . @topic:13


nutrient deficiency prediction method using deep learning development tomato fruits accuracy identification prediction artificial intelligence AI system . study focus analyzing evaluating well predicting nutrient deficiency status @topic:25


Artificial intelligence asset management using average prediction across various AI techniques . AI plays role trading facilitating algorithmic trading— far popular AIrelated keyword machine learning ” @topic:28


Machine learning models water quality prediction comprehensive analysis uncertainty assessment Mirpurkhas Sindh Pakistan environmental science machine learning research potential artificial intelligence predictive modeling ROC curves provide visual representation trade @topic:23


Explainable multimodal machine learning engagement analysis continuous performance test Artificial Intelligence Machine Learning models prediction suggested recommended machine Explainable Artificial Intelligence XAI 5 attempts make @topic:30


ThermalNet deep reinforcement learningbased combustion optimization system coalfired boiler apply deep reinforcement learning make effective trade prediction errors applied minimize prediction ˆ j prediction true value j . @topic:24


Statistical arbitrage KOSPI 200 exploratory analysis classification prediction machine learning algorithms day trading study several machine learning methods pairs trading techniques viable utilized statistical arbitrage models using machine learning artificial intelligence @topic:13


Deployment machine learning algorithms predict sepsis systematic review application SALIENT clinical AI implementation framework Systematically review studies clinically applied AIbased sepsis prediction algorithms regard methodological quality deployment evaluation methods outcomes . Identify @topic:29


Prediction xerostomia elderly based clinical characteristics salivary flow rate machine learning Furthermore wanted increase prediction accuracy using AI machine learning algorithm . conducting study patients aged 1–95 years aimed compare @topic:29


Towards leveraging role machine learning artificial intelligence precision agriculture smart farming Balancing tradeoff dimensionality reduction information loss compare machine learning algorithms linear multivariate algorithms terms prediction @topic:30


survey stock market price prediction system using machine learning techniques artificial intelligence AI techniques model predict future price stock market index . Three artificial intelligence work propose automated trading system @topic:13


deep learning method prediction ship fuel consumption real operational conditions Maritime transport highlighted United Nations Conference Trade Development UNCTAD assumes paramount role global trade transportation supply @topic:24


Predictive models clinical decision making Deep dives practical machine learning AI field building autonomous learning systems whereas machine learning projects . central concepts prediction methodology include bias–variance trade @topic:29


Application machine learning water resources management systematic literature review interests artificial intelligence AI Forecasting probabilistic version predicting event future . review paper terms prediction forecasting @topic:23


holistic review energy forecasting using big data deep learning models initially derived investigating artificial intelligence AI machine learning ML techniques optimization network parameters done ensure best tradeoff @topic:26


machine learning framework predict local strain distribution evolution plastic anisotropy fracture additively manufactured alloys Therefore understanding linkages process process optimization wide scale applicability . regards artificial intelligence AI based machine learning @topic:23


Stock prediction using deep learning prediction . ranges traditional statistical modelling methods based artificial intelligence machine learning System stock prices prediction trading strategies 25 . @topic:13


Predicting stock market index using LSTM artificial intelligence machine learning techniques machine opens door develop sophisticated methods closing price predicted based fundamental trading @topic:13


Using AI Predictive Analytics Financial Management based reinforcement learning algorithmic trading deep learning reinforcement learning techniques . main objective develop AIbased model predictive @topic:13


Machine learning applications minerals processing review Machine learning artificial intelligence techniques results showed machine learning techniques predict success predictive techniques . ensemble @topic:23


review machine learning deep learning applications Therefore machine learningis subfield AI.Computer prediction network intrusion detection predicting denial Trading well implemented usingDirect Deep @topic:28


Machine learning assisted predicting engineering specific surface area total pore volume biochar Machine learning ML used effectively aid prediction engineering biochar properties . prediction biochar yield SSA TPV achieved via random forest @topic:23


survey deep learning human mobility Artificial Intelligence AI techniques availability big mobility data offered unprecedented opportunities researchers use Deep Learning prediction crowd flow prediction @topic:24


improved index pricemovement prediction using ensemble cnn dnn deep learning technique prediction model used three different deep learning architectures price prediction designed provide inputs NSE Bank data past trading days predict @topic:13


novel deep reinforcement learning based stock direction prediction using knowledge graph community aware sentiments artificial intelligence AI agent learns interact directly environment utilizing rewardpenalty mechanism . way AI trend prediction FX high frequency trading @topic:13


Deep learningbased automated learning environment using smart data improve corporate marketing business strategies fraud detection financial services … machine learning branch artificial intelligence AI making extensive use AI tools principles mathematics deep learning based stock trading model 2d @topic:13


Designing deepbased learning flood forecast model ConvLSTM hybrid algorithm design AIbased predictive model trained practical highly accurate tool Therefore paper hybrid deep learning approaches used forecast floods @topic:23


Deep learning modelling techniques current progress applications advantages challenges machines Dick 2019 fueled researchers ’ imaginations . present time artificial intelligence AI Machine learning ML part AI multidisciplinary field spanning @topic:25


machine learning platform stock investment recommendation systems High potential returns derive welldefined trading strategies . motivates stock data extraction machine learning algorithms prediction used . calculation @topic:13


impact artificial intelligence international trade AI trade also important briefly consider core parts . particular narrow AI based machine learning increasingly robust predictions future.The data used @topic:25


Machine learning metaheuristic methods renewable power forecasting recent review ML ANN deep learning DL subsets AI . Figure 2 illustrates differences relationships subsets Sindhu Nivedha 2020 . following @topic:26


Artificial intelligence skin permeability prediction deep learning Machine learning techniques predictions judgments aid humans decisionmaking5 . Recently research group used machine learning approach predict @topic:29


Automation kidney function prediction classification ultrasoundbased kidney imaging using deep learning VGG19 23 improve performance tradeoffs considering MAE correlation Fused AIpowered automation support efficiency health care . proposed deep learning @topic:29


Using machine learningbased predictive models enable preventative maintenance prevent ESP downtime use artificial intelligence AI machine learning ML tradeoff model becomes sensitive smaller changes data making prone false anomaly predictions @topic:24


Status Report Regulatory Criteria Applicable Use Artificial Intelligence AI Machine Learning ML health maintenance PHM predictive tools AI likely use AIenabled personal privacy trade secrets help enable development AI making @topic:29


Advances opportunities machine learning process data analytics focus paper process data analytics machine learning AI inferential sensors prediction accuracy necessary provide tradeoff model @topic:23


review machine learning applications power system resilience artificial intelligence technique machine learning shown system considering tradeoff load balancing . Machine learning based power grid outage prediction @topic:26


new study prediction effects road gradient coolant flow electric vehicle battery power electronics components using machine learning … use various artificial intelligence tools data forecasting use artificial intelligence tools estimating also facilitates model selection incorporating tradeoff @topic:24


Stop explaining black box machine learning models high stakes decisions use interpretable models instead leverage machine learning ML highstakes prediction Protection Regulation AI regulation plans govern myth accuracyinterpretability tradeoff specific @topic:30


SMPDL novel stock market prediction approach based deep learning effective trend forecasting One possibility using machine learning ML artificial intelligence AI make stock investment trading market information directly affects forecast market patterns @topic:13


Review machine learning based welding quality improvement b Artificial intelligence techniques bonded nonlinear arc welding process prediction used model developed detect predict porosity comparing DNN @topic:23


mobilebased system maize plant leaf disease detection classification using deep learning AI deep learning predicting bounding box prediction score classifies relevant class . study image size fixed 416×416 training testing process . @topic:30


machine learning accelerate process understanding decision‐relevant predictions river water quality AI focuses learning patterns complex data Russell Norvig 2020 . Thus ML useful problems require predictions selection evaluation tradeoffs @topic:23


Approaches shortterm prediction natural daily streamflows using hybrid machine learning enhanced grey wolf optimization strategies making accurate forecasts including physical modelling artificial intelligence parameter ρ regulates L 1 L 2 tradeoff . EN useful solution numerous @topic:23


Determining quality water reservoir using machine learning study establishes machine learning approach predicting Carlsons Trophic State Therefore investigation uses four AI techniques based ANNs SVM LR @topic:23


role deep learning urban water management critical review hand machine learning subset Artificial Intelligence AI allows systems deep learning approach water demand forecasting outperform traditional @topic:23


use Artificial Intelligence orthopedics applications limitations machine learning diagnosis prediction weak learners ’ models defined decision trees ” thus described supervised machine learning algorithm used predictive modeling dependent variable @topic:29


Comparing deep learning shallow learning techniques api calls malware prediction study Edge AI Edge computing Artificial intelligence solutions allow inference made direct generation data even downloaded receiver ’ @topic:25


Assessing trustworthy AI times COVID19 deep learning predicting multiregional score conveying degree lung compromise COVID19 patients AI practice domain healthcare 2 investigate research question trustworthy AI ” trustworthiness AI system predicting multiregional score @topic:30


hybrid machine learning system stock market forecasting ’ ’ predictions map predictions onto trading strategy . artificial intelligence machine learning techniques used past decade predict @topic:28


PREDICTING STOCK ARKET APPROACH AIFICIAL INTELLIGENCE prediction using Artificial Intelligence identifying trading pattern relations appropriately inter relates High Frequency Stock Trading advanced machine learning techniques @topic:13


machine learning assisted prediction potential biochar applications anaerobic digestion valuable chemicals energy recovery organic waste material energy flow biochar preparation process perspective . Specifically summarizes application ML techniques based artificial intelligence predicting @topic:23


Machine learning spatiotemporal sequence forecasting survey review machine learning based methods spatiotemporal sequence forecasting . However choosing DMS IMS involves tradeoff among forecasting bias @topic:25


Explainable AI healthcare study interpreting diabetes prediction Limitations explainable ai tradeoff accuracy interpretability Therefore maintaining accuracy interpretability tradeoff important sector @topic:30


Stock price prediction optimized deep LSTM network artificial rabbits optimization algorithm AI algorithms capability analyze vast amounts techniques combination traditional machine learning trading system . future values stocks @topic:13


Stock Market Prediction Using Recurrent Neural Network predict financial stock market price using Deep Learning Artificial Intelligence machine learning deep learning trading days Yaxis indicated actual predicted closing @topic:13


Prediction biodiesel yield employing machine learning interpretability analysis via Shapley additive explanations process also time consuming . Recent advancements artificial intelligence machine learning constant C used balance tradeoff complexity @topic:23


Artificial Intelligence‐Based Bio‐Medical Stroke Prediction Analytical System Using Machine Learning Approach contrary stroke diagnosis prediction systems rely image analysis develop machine learning algorithm prediction stroke brain prediction @topic:29


Robustness Evaluation LSTMbased Deep Learning Models Bitcoin Price Prediction Presence Random Disturbances cryptocurrency exchange globally based trading volume BTC Machine learning Artificial Intelligence areas . Published research papers Finance Artificial Intelligence @topic:40


Predicting state charge health batteries using datadriven machine learning specific application artificial intelligence allows computers learn improve clear tradeoff computational efficiency accuracy modelbased @topic:26


Statistical Machine Learning forecasting methods Concerns ways forward AI found applications field forecasting Machine Learning methods ML especially Neural Networks NNs exploited improve time series predictions @topic:28


upsurge deep learning computer vision applications academe review intelligence within tradein building machine learning predictive analysis . AI driven Deep Learning nowadays easily . @topic:25


Clinical applications machine learning cardiovascular disease relevance cardiac imaging centurylong quest artificial intelligence AI altered construction inferential predictive datadriven models . Therefore tradeoff model complexity data @topic:29


new ensemble spatiotemporal PM2 . 5 prediction method based graph attention recursive networks reinforcement learning prediction models constructed respectively . step III reinforcement learning one popular AI algorithms deep learning attracted widespread attention @topic:26


novel deep reinforcement learning based stock price prediction using knowledge graph community aware sentiments deep reinforcement learning approach order forecast financial trend foreign exchange FOREX trading system using high frequency trading artificial intelligence AI agent @topic:13


Making online adaptive radiotherapy possible using artificial intelligence machine learning efficient daily replanning choosing typically represents tradeoff . decision related high regression model machine learning infer characteristics permit prediction dose @topic:29


survey deep learning timeseries forecasting Doctor AI mimics human doctors ’ predictive power One limitation Doctor AI incorrect predictions application deep learning trade signal prediction @topic:13


Explainable Artificial intelligence XAI supervised machine learningbased algorithms prediction surface roughness additively manufactured polylactic … machine learning models . nine predict surface roughness PLA specimens also investigating impacts individual input parameters explainable AI @topic:23


Grid search hyperparameter optimization machine learning models prediction HIVAIDS test results see biasvariance tradeoff model plot learning curve . Figure 10 Recommended articles lists articles recommend powered AI driven @topic:29


Machine learning cardiovascular medicine yet utility machine learningbased predictive model Artificial intelligence AI machine learning umbrella terms biasvariance tradeoff key step predictive model @topic:29


review fairness machine learning controlled artificial intelligence AI machine learning ML Next highlight main tradeoffs exist learning also note learning fairly predict @topic:30


Ensemble deep learning review training testing pair subsets obtain predictions different learning models used metadata build metamodel . Metamodel makes final @topic:25


Price prediction bitcoin ethereumA machine learning approach Machine learning predict prices cryptocurrencies Bitcoin Ethereum . suitable model built produce prediction prediction models using technical trade @topic:40


Stock price prediction using deep learning LSTM long shortterm memory Prediction stock value future trading also shows forecasting prediction higher stocks using PSO artificial intelligence technology due forecasting @topic:13


PM2 . 5 concentration prediction model based multitask deep learning intensive air quality monitoring stations prediction methods based artificial intelligence . Integrating deep learning multitask learning commercial trade gathering area . Air quality affected traffic people @topic:26


Computational complexity influence predictive capabilities machine learning models concrete mix design machine learning models concrete mix design . findings research provide insights trade recent advancements artificial intelligence machine learning . @topic:23


Healthcare predictive analytics using machine learning deep learning techniques survey Machine learning ML subfield AI aims develop predictive algorithms based idea machines descriptive predictive tools process correlations . ML @topic:29


Application features neural network enhance performance deep reinforcement learning portfolio management predicting future price modelfree algorithmic trading problem transformed deep reinforcement learning problem . important branches artificial intelligence . @topic:13


Wind power forecasting using ensemble learning dayahead energy trading Artificial Intelligence based forecasting techniques applied extensively process discard problematic curtailed samples training process Machine Learning @topic:24


Development Machine LearningBased Carbon Emission Prediction Method MultiFuelPropelled Smart Ship Using Onboard Measurement Data Zerocarbon shipping prime goal seaborne trade industry moment . Therefore review studies apply artificial intelligence models estimating fuel @topic:24


Advancing biosensors machine learning branch artificial intelligence AI machine learning ML deep learning model developed based SERS model transferred predict lung cancer stage @topic:29


physicsguided deep learning approach functional assessment cardiovascular disease IoTbased smart health prediction . address issue present physicsguided deep learning network regard AI technologies eg deep learning provide new way hemodynamics @topic:29


Tackling faults industry 4.0 era—a survey machinelearning solutions key aspects fields artificial intelligence AI machine learning ML fault detection prediction prevention Industry 4.0 attractive tradeoffs accuracy prediction @topic:23


Traffic graph convolutional recurrent neural network deep learning framework networkscale traffic learning forecasting However full potential artificial intelligence approaches traffic forecasting tradeoff prediction accuracy feature richness directly @topic:24


Interpretable Machine Learning brief survey predictive maintenance perspective explainable AI interpretable machine learning PdM . 2 identify interpretable machine learning research thereby tradeoff narrow applicability favor @topic:30


Enhanced survival prediction using explainable artificial intelligence heart transplantation tradeoff model complexity predictive predictive performance much larger deep learning model . constructed iterative process . method @topic:29


Study ECommerce Impact Machine Learning ECommerce Artificial Intelligence provided machine learning . Due stock trading health care sector etc . instance role Using predictive modelling machine learning manual @topic:28


Machine learning artificial intelligence research patient benefit 20 critical questions transparency replicability ethics effectiveness reporting assessment MLAI based prediction models . growing body statistical performance MLAI algorithm justified context tradeoffs @topic:29


Temporal deep learning framework retinopathy prediction patients type 1 diabetes goal assess tradeoff size training data length patient ’ history comparing performances . Fig . 6 suggests experiments @topic:29


Reinforcement learning stock prediction highfrequency trading 1 rules algorithm based reinforcement learning stock prediction trading generate adaptive trading framework . First algorithm run get optimal action ai @topic:13


Stock price prediction trading strategy embedding trading strategy deep learning framework Deep learning attractive field artificial intelligence AI recently trading strategy loss function deep learning make prediction serve trading @topic:13


Bitcoin transaction strategy construction based deep reinforcement learning cryptocurrency trading strategy based deep learning . Visualizations trading process study demonstrates prediction accuracy bitcoin price different kinds @topic:40


Boosting solar radiation predictions global climate models observational predictors hybrid deepmachine learning algorithms spite DLbased MLbased kinds AI physical empirical methods used predict GSR merits constraints individual model method differ greatly @topic:26


Machine learning sustainable energy review outlook renewable energy systems catalysis smart grid energy storage Discuss tradeoff complexity predictions predicted low error whereas prediction solar Moreover AI fields quality data set @topic:26


Application machine learning initiatives intelligent perspectives CO2 emissions reduction construction new technologies artificial intelligence machine learning contributed CO making platform prediction environment based machine learning techniques @topic:26


Machine learning enhancing transportation security comprehensive analysis electric flying vehicle systems transformative role machine learning ML techniques revolutionizing security electric flying vehicles EnFVs . exploring key domains predictive maintenance @topic:24


survey forex stock price prediction using deep learning deep learning methods price trend prediction accuracy . AI field leads wide use deep learning techniques reinforcement learning learns best timing trading action @topic:13


Use endoscopic images prediction submucosal invasion gastric neoplasms automated deep learning model development usability study Artificial intelligence AI using deep learning DL Application AI endoscopic examination noninvasive study efficiencyeffectiveness tradeoffs considered @topic:29


Explainability interpretability electric load forecasting using machine learning techniques–A review response programs electricity trading consumption optimization . forecasts become important . Still time complexity used machine learning @topic:26


Machine Learning Unsafe Irresponsible Social Sciences Paradoxes Reconsidering Recidivism Prediction Tasks Recent advances breakthroughs artificial intelligence machine learning ML Automated machine learning studying tradeoff predictive accuracy @topic:30


Bankruptcy prediction using machine learning Shapley additive explanations methods machine learning attract attention many artificial intelligence researchers . ensemblebased machine learning algorithms predict bankruptcy accurately across @topic:28


Legal requirements explainability machine learning context category prediction task called predictions predictions made model . issue machine learning algorithms incorporate tradeoff @topic:30


AIdriven model predicting optimizing energyefficient building envelopes uses AI optimization algorithms NSGA II DSE MOPSO integrates machine learning predictive model evaluation function evolutionary process @topic:26


survey networking applications applying software defined networking concept based machine learning methods artificial intelligence AI machine learning ML measure informative flows based dynamic control including flow prediction throughput prediction TM @topic:25


Unleashing Power MultiAgent Reinforcement Learning Algorithmic Trading Digital Financial Frontier Enterprise Information Systems AIdriven agents collaborate compete within financial realm employing sophisticated deep learning unrolling factor prediction algorithm using machine learning models @topic:13


Education 4.0—Fostering students performance machine learning methods Machine learning part AI offers ability extract new objectives making forecast new namely tradeoff parameter kernel machines @topic:25


Application machine learning techniques model fullscale wastewater treatment plant biological nutrient removal treatment process simulated using artificial intelligence . vector regression predict 15 process parameters include large prediction residual errors represents trade @topic:23


Prediction stock price direction using hybrid GAXGBoost algorithm threestage feature engineering process employed machine learning deep learning techniques stock price prediction studies use artificial intelligence AI used 4203 trading days ’ worth data regarding @topic:13


Various crop yield prediction techniques using machine learning algorithms Machine learning used prediction property prices years stock market trading usage various machine learning methods crop yield prediction @topic:25


Predicting shareholder litigation insider trading financial text interpretable deep learning approach framework uses machine learning predict exante show deep learning model suitable tasks compare predictive performance deep learning @topic:13


Prediction phases high entropy alloys using machine learning extensively employed predictive modeling 7 8 phase prediction HEAs using machine learning . Machine Learning subfield artificial intelligence AI @topic:23


Emerging materials intelligence ecosystems propelled machine learning amenable artificial intelligence AI machine learning ML functions exploration exploitation tradeoff identify propertyprediction models based deep learning . @topic:23


Explainable Machine Learning Lead Time Prediction Case Study Explainability Methods Benefits Pharmaceutical Industry performance tradeoff highlight eight benefits mapped model ’ life cycle . introduction field Artificial Intelligence AI Machine Learning ML highlights @topic:30


Machine learning deep learning methods enhancing building energy efficiency indoor environmental quality–a review Monthly prediction R 2 Cooling energy prediction using AI method significantly faster BES providing accurate results . Building energy simulation required 1145s @topic:26


Developing deep learning surrogate models digital twins mineral processing–A case study datadriven multivariate multistep forecasting research leverages AI gain deeper insights intricate chain suite innovative AI solutions—a paradigm requirements desired tradeoffs model @topic:24


Predictive maintenance banking leveraging AI realtime data analytics Predictive Modeling AIdriven predictive models forecast potential fraudulent activities leveraging historical data market trends risk factors . Machine learning algorithmic trading @topic:28


Crop yield prediction via explainable AI interpretable machine learning Dangers black box models evaluating climate change impacts crop yield predictive power machine learning predicts well often remains black box . develop explainable artificial intelligence AI exploring historical crop yield data predicting @topic:30


Modelling pressure swing adsorption unit deep learning artificial Intelligence tools Artificial Intelligence based models prediction dynamic behaviour several process classical model ANNs machine learning model deep learning model @topic:23


Halal tourism demand firm performance forecasting new evidence machine learning artificial intelligence cuttingedge machine learning models HTD forecasting model study uses machine learning machine learning biasvariance tradeoff signifies key @topic:28


Improved LSTMbased deep learning model COVID19 prediction using optimized approach process evaluating performance models . presented various ways timeseries forecasting proposed methods machine learning models evaluate @topic:25


Artificial intelligence machine learning radiology opportunities challenges pitfalls criteria success predicted machine learning displace much work radiologists anatomic pathologists ” machine tradeoff robust generalizable @topic:29


AI highgrade glioma diagnosis outcome prediction machine learning models perform equally well Figure 2 Machine learning classifiers tested present study . Nonensemble learners AUCROC curves also useful comparing classifiers show tradeoff @topic:29


Machine learning model identifying important clinical features predicting remission patients rheumatoid arthritis treated biologics field artificial intelligence XAI recently related predicting outcomes machine learning models . use machine learning method predict outcomes @topic:29


Information token driven machine learning electronic markets Performance effects behavioral financial big data analytics considered subset artificial intelligence AI use uncovered patterns predict future data high quality customer intelligence trading performance . @topic:28


CNNLSTM based deep learning model high accuracy robustness carbon price forecasting case Shenzhens carbon market China paper built models different parameters predict carbon trading prices developments explainable artificial intelligence AI unfold opportunity @topic:26


Blockchain management machine learning adaptation IoT environment 5G beyond networks systematic review based upon Artificial Intelligence AI process NN ’ incorporated IoTenabled devices 8 . Moreover intelligent predictive algorithms — reinforcement learning @topic:28


price explainability machine learning models 100day readmission prediction heart failure retrospective comparative machine learning study predicting readmissions patients HF . Objective primary objective study assess tradeoff using deep learning explainable artificial intelligence @topic:29


Driving efficiency risk management finance AI RPA machine learning algorithms RPA enable accurate cash flow predictions . delves integration artificial intelligence algorithmic trading strategies important @topic:13


Deep spatiotemporal residual networks citywide crowd flows prediction Forecasting flow crowds great importance traffic management public safety propose deeplearningbased approach called STResNet collectively forecast @topic:24


Ascertaining price formation cryptocurrency markets machine learning refresh obsolete predictive machine learning models . trading system prediction model trained . powered AI driven recommendation engine . @topic:40


Intravascular ultrasoundbased machine learning predicting fractional flow reserve intermediate coronary artery lesions based maximal accuracies precision positive predictive value recall sensitivity tradeoff sensitivity specificity trade . measure quality binary @topic:29


Big data artificial intelligence banking industry AI predicted great potentials banks . chapter discusses implications big data AI addition predictable patterns machine learning trading strategies may @topic:28


Hasta la vista baby ” –will machine learning terminate human literature reviews entrepreneurship AI ML rapidly disrupting industries investigate insights usefulness tradeoffs inform simulation prediction process begins loading @topic:28


survey fairness machine learning graphs challenge difficulty finding good tradeoff model accuracy fairness . edge prediction Section 2 . recall regulations force AI related @topic:30


Using machine learning predict antimicrobial resistance―a literature review tools successfully used predict early antibiotic resistance machine learning artificial intelligence AI general conjunction antimicrobial resistance prediction . @topic:29


Machine learning approaches plant miRNA prediction challenges advancements future directions AI predict plant miRNAs . demonstrate establish predictive ML model predict review focus miRNA prediction methods based artificial intelligence AI @topic:30


MaTPIP deeplearning architecture eXplainable AI sequencedriven feature mixed proteinprotein interaction prediction introduce MaTPIP cuttingedge deeplearning framework predicting PPI . MaTPIP stands due innovative design fusing pretrained Protein Language Model PLM @topic:29


hybrid stock market prediction model based GNG reinforcement learning supervised learning effectively parse trading information present prediction model combines unsupervised learning reinforcement learning @topic:13


machine learning approach area prediction hardware designs abstract specifications Machine Learning form Artificial Intelligence AI able perform certain task show Section V approach allows obtain necessary tradeoff @topic:24


Recent advances machine learning research nanofluidbased heat transfer renewable energy system Machine learning technologies based AI utilized field machine learningbased model prediction engineering categories using machine learning methods . @topic:23


Explainable artificial intelligence Understanding visualizing interpreting deep learning models techniques explaining predictions deep learning models . process explanation explanation method applied explain prediction terms input variables . @topic:30


Deep learning transport studies metaanalysis prediction accuracy tuning process study attempts summarize relationship prediction accuracy deep learning application AI transportation two major ways . First @topic:24


Modelbased reinforcement learning predictions control limit order books build profitable electronic trading agent Reinforcement Learning places buy sell orders stock market . environment model built historical @topic:13


Applications machine learning rule induction hundreds AI expert systems used regularly industry . Machine learning aims repeated process find rules predicting qualitative powder attributes @topic:23


AIML applications bioprocessing ML enabler real time quality prediction continuous manufacturing mAbs compared using bias variance trade method five machine learning algorithms namely deep neural real time prediction process attributes continuous @topic:23


Deep learning framework vessel trajectory prediction using auxiliary tasks convolutional networks Traditional statistical machine learning approaches Deep learning techniques emerged promising novel deep learningbased vessel trajectory prediction framework @topic:23


Predictive modeling breast cancer classification context Bangladeshi patients use machine learning approach explainable AI aided creating machinebased forecasts . Machine learning Explainable AI crucial classification provide accurate predictions also offer insights @topic:29


Machine learning methods applied drilling rate penetration prediction optimizationA review artificial intelligence field ROP prediction ROP prediction especially machine learning techniques machine learning methods . review enables see @topic:23


Deep learning R 1970 quantified earlier prediction stating—In paved way new era AI—machine learning . machine learning define appropriate tradeoff point @topic:25


VAEBayesian deep learning scheme solar power generation forecasting based dimensionality reduction learning often leads increased computation time tradeoff needs maintained forecasting addition standard deep learning forecasting methods RNN @topic:26


review machine learningbased photovoltaic output power forecasting Nordic context allow accurate energy trading decisions power deep learning AI algorithms PV power forecasting . impact various environmental parameters PV power forecasting @topic:26


Practical numerical tool marshall stability prediction based machine learning application asphalt concrete containing basalt fiber artificial intelligence AI techniques predict mechanical behavior asphalt concrete specific emphasis fiberreinforced concrete . Using AI machine learning trade @topic:23


artificial intelligence impact sustainability systematic literature review goals using artificial intelligence AI machine learning wholesale trade sectors still incorporated AI One remarkable benefits AI predict disease @topic:25


Wind speed forecasting using deep learning preprocessing techniques reliable precise forecasts wind energy able trade energy artificial intelligence deep learning introduced wind speed prediction due higher @topic:26


Looking beyond hype applied AI machine learning translational medicine Artificial intelligence AI machine learning ML technologies begun change may perform intelligent tasks grouping patients predicting outcomes . @topic:29


Stock Market Price Prediction using Machine Learning Techniques Review opportunities give birth introduction algorithmic trading stock prediction machine learning artificial intelligence 3 . various internal external @topic:13


Machine learning evaluation prediction models biochar application review ML artificial intelligence application allows people predict outcomes using software related optimization studies still needed aspects tradeoff biochar @topic:23


Regulating robot Administrative decision making machinelearning era According projections artificial intelligence threatens use machine learning predict crimesocalled predictive use machinelearning algorithms predict trading @topic:25


novel prediction based portfolio optimization model using deep learning prediction based portfolio optimization return forecast . classical unsupervised learning model frequently stock return prediction conduct trading simulation @topic:13


Stock market prediction using sentiment analysis machine learning approach predict currency trading estimation . growing interest artificial intelligence ANNs Support Vector Machines SVMs used forecast stocks . @topic:13


Machine learning based time domain millimeterwave beam prediction 5Gadvanced beyond design analysis overtheair experiments AIML based algorithms facilitating TD beam prediction mmWave deployment balance tradeoffs cost Recently artifical intelligence AI machine learning ML @topic:24


Deep direct reinforcement learning financial signal representation trading widely discussed modern artificial intelligence 1 . Essentially process trading Table III prediction systems potentially change trading positions quite often @topic:13


Industrial data science–a review machine learning applications chemical process industries machine learning ML artificial intelligence AI condition predictive monitoring quality prediction process control efficiency tradingoff bias variance learning . Figure @topic:23


Prediction biodiesel production microalgal oil using Bayesian optimization algorithmbased machine learning approaches Thus tradeoff low high learning rates required . optimum Herein two artificial intelligence models namely ANN SVR developed forecast @topic:24


Machine Learning Q AI 30 Essential Questions Answers Machine Learning AI Learn answers 30 cuttingedge questions machine learning AI machine learning deep learning AI questionandanswer format Machine Learning Q AI @topic:25


Datadriven probabilistic machine learning sustainable smart energysmart energy systems Key developments challenges future research opportunities … powerful AI ML predictive models data science 37 . predictive models yield optimization energy forecasting energy storage energy trading grid behavior interface @topic:26


Vehicle price classification prediction using machine learning IoT smart manufacturing era one among machine learning strategy . may higher accuracy tradein vehicle value forecast . Neural networks AI model attempts tackle issues @topic:24


Deep learning framework forecast electricity demand forecast AIbased methods use historical data predict deep learning based framework forecast electricity parameter C regularisation parameter represents trade @topic:26


Prediction optimization alkaliactivated concrete based random forest machine learning algorithm development machine learning ML algorithms artificial intelligence AI However also tradeoff accuracy computational time @topic:23


Deep Learningbased Integrated Framework stock price movement prediction Therefore paper novel hybrid model SADLSTM proposed predict stock market simulation trading combine emotion enhanced convolutional neural network @topic:13


Applications artificial intelligence machine learning heart failure health services risk prediction . HF one Machine learning ML encompasses computational tasks risk prediction . ML methods handle temporal @topic:29


Machine learning law overview Machine learning artificial intelligence AI approach widely used today automation prediction produced private companies use tradesecret contract law @topic:30


Algorithms reinforcement learning learner learner ’ predictions . problems artificial intelligence operations research approximation trade offs choices come . @topic:28


Analysing improving diagnosis ischaemic heart disease machine learning order perform ROC analysis control tradeoff sensitivity specificity . predictive power tests improved using machine learning @topic:29


artificial intelligence model heart disease detection using machine learning algorithms construction artificial intelligencebased heart disease detection system using machine learning algorithms . show machine learning help predict whether person @topic:29


Recent developments application machinelearning towards accelerated predictive multiscale design additive manufacturing subfield AI gaining prominence improvement recent years Machine Learning ML . various efforts past integrate statistical AIML techniques @topic:23


Demand Management Station‐Based Car Sharing System Based Deep Learning Forecasting Therefore wish predict car sharing demand using stateoftheart deep learning approaches . Thus paper attempts apply deep learning forecasting techniques @topic:24


Investor sentiment machine learning Predicting price Chinas crude oil futures market AI platforms perform sentiment analysis empirical study . Sentiment analysis also known opinion mining emotion AI futures largest trading volume variables @topic:24


Evaluating performance automated machine learning AutoML tools heart disease diagnosis prediction barrier healthcare professionals—automated machine learning AutoML tools significantly conventional machine learning methodologies crafted ten machine learning models @topic:29


dataaware explainable deep learning approach next activity prediction event prediction using deep learning techniques . literature recently several approaches predictive process results experimentation show good tradeoff @topic:25


Machine learning deep learning based time series prediction forecasting ten nations COVID19 pandemic paper authors investigated predicted future environmental circumstances COVID19 minimize effects using artificial intelligence techniques . @topic:25


fast machine learning workflow rapid phenotype prediction whole shotgun metagenomes used train different machine learning models compare performance terms prediction accuracy time . precisely Speed Accuracy TradeOff @topic:29


Next generation research applications hybrid PETMR PETCT imaging using deep learning field machine learning artificial intelligence AI methods denoise PET images ability trade dose inputs deep learning model predict fulldose PET @topic:29


Artificial intelligence deep learning nuclear medicine radiology performance metric loss calculated output predictions ground truth Secondly finding optimal patch size difficult due tradeoff larger @topic:29


multicomponent framework analysis design explainable artificial intelligence AI XAI . general idea somehow develop methods capture abstractions predictive models created modern machine learning specious tradeoff predictive @topic:30


deep learning enabled multiclass plant disease detection model based computer vision bounding box prediction process . CIoU loss formulated incorporating consistency aspect ratio parameter v positive trade parameter α expressed @topic:25


Machine learning process may possible still detect patterns . use patterns predict artificial intelligence want intelligence . say @topic:25


Fox neurofuzzy model process outcome prediction explanation prediction particular trace learned machine learning conclude FOX realizes good tradeoff towards eXplainable Artificial Intelligence propose novel @topic:30


Deep learning electrical utility industry comprehensive review decade research spans involved types time horizon forecasting approaches . Several methods already reported earlier electricity load forecasting using AI1.0 ML algorithms . @topic:26


Hybrid Deep Learning Applied Saudi Smart Grids ShortTerm Load Forecasting control via artificial intelligence AI . Recently many AI methods including deep learning DL time series predictions compared conventional prediction models . Current load @topic:26


Quantitative prediction inorganic nanomaterial cellular toxicity via machine learning progress due machine learning ML . However translation artificial intelligence AI always tradeoff . Overall 40 models run default parameters tested @topic:23


Deep learning model realtime prediction intradialytic hypotension time although tradeoff precisions recalls 4 hours . best knowledge artificial intelligencebased alarm systems predicting @topic:29


AIBased Surface Roughness Prediction Model Automated CAMPlanning Optimization tradeoff time quality optimization . paper presents novel concept predicting 10 developed machine learning model based Artificial Neural Network ANN @topic:23


Powering digital economy Opportunities risks artificial intelligence finance Machine learning algorithms used forecasting benefit using large data sets . streams trading data information execute highfrequency trading . However @topic:28


Machine learning interpretability survey methods metrics Institute Ethical AI Machine Learning model performs well enough acceptable predictive However important mitigate concerns around trade @topic:30


improved Stacking framework stock index prediction leveraging treebased ensemble models deep learning algorithms meaningful building effective trading strategies 1 deep learning models forecasting SP500 Nasdaq stock indices indicates incorporating novel artificial intelligence @topic:13


Enhanced point‐of‐care ultrasound applications integrating automated feature‐learning systems using deep learning applications artificial intelligence AI deep learning DL However tradeoff level automation used inference prediction . training @topic:29


deep learning model remaining useful life prediction aircraft turbofan engine CMAPSS dataset trade sectors . accurate remaining useful life RUL artificial intelligence 277 AI predictive maintenance models capability 278 process big amount realworld machines @topic:23


attentionbased deep learning model citywide traffic flow forecasting urban traffic forecasting . machine learning ML domain numerous parametric nonparametric methods widely employed traffic flow forecasting . Parametric @topic:24


Uncovering flooding mechanisms across contiguous United States interpretive deep learning representative catchments scientific insights using flood prediction across contiguous Deep learning DL cuttingedge AI paradigm whose Overemphasizing accuracyinterpretability tradeoff would @topic:23


Artificial intelligence predicting mechanical properties composite materials lies exploring various machine learning deep learning techniques employed application traditional machine learning methods predicting mechanical properties @topic:23


black boxes Explaining predictions machine learning XGBoost classifier algorithm business failure AI business applications daily lives . results also indicate crucial factors predicting Nevertheless nowadays tradeoff interpretability @topic:30


Machine learning techniques predict flame state temperature species concentrations counterflow diffusion flames operated CH4COH2air … artificial intelligence AI increasing many fields research since complex physical problems learned ’ reproduced AI create machine learning model based @topic:23


Unsupervised deep learning based variational autoencoder model COVID19 diagnosis classification capable performing object prediction well medicinal subsection Artificial Intelligence AI used prominently sizes tuned reaching optimal tradeoff processing @topic:30


Motor imagery classification brainmachine interface machine learning algorithms Classical approach multilayer perceptron model SVM showed shortest training time prediction speed external device Artificial intelligence AImachine learning ML tree diversity higher bias lower variance trade . @topic:23


Shortterm renewable energy consumption generation forecasting case study Western Australia superiority optimised deep learningbased Long Term enable effective P2P energy trading realtime forecasting Wellknown classical statistical AIbased models @topic:26


Framework Assessment Bitcoin Price Prediction Using Ensembling Machine Learning Approach collection highdimensional characteristics fundamental trading features used machine learning techniques acknowledged study predicting Bitcoin values . @topic:40


study supervised machine learning algorithms traffic prediction SDWAN recent research includes application artificial intelligence big data technologies tradeoff selection process manage high bias high @topic:25


Green ai deep learning frameworks different costs Training refers process learning weights process using trained dl model make prediction goal find energy runtime performance tradeoffs @topic:26


Artificial intelligence based system bank loan fraud prediction study aims apply machine learning algorithms trade . application also developed using neural network current data order make predictions . @topic:28


Machine learning criminal justice systematic review advanced methodology recidivism risk prediction machine learning models like black boxes ’ complex design users understand AI algorithms use explainable AI . explainable @topic:30


Study Improving Banking Process Predicting Prospective Customers Term Deposits using Explainable Machine Learning Models machine learning model banks order provide explainable AIbased solution predicting definite tradeoff recall score FPR ideal scenario @topic:28


Enhancing financial decisionmaking explainable AI Blockchain integration improving transparency trust predictive models adopting artificial intelligence AI machine learning AIpowered predictive models shown extraordinary consideration tradeoffs ensure deployment AI models @topic:28


AI machine learning climate change research review predictive models environmental impact predictive models environmental impact assessment . recent emergence Artificial Intelligence AI Machine Learning ability predict future climate scenarios @topic:24


Improved machine learning model selection techniques solar energy forecasting applications 2 shows overall idea artificial intelligence machine learning deep learning . helpful many ways electricity markets trading maintenance planning . Finally @topic:26


Individualized 3D dose distribution prediction using deep learning deep learning method based patient ’ anatomy DVH information predict model precisely predict dose distribution various tradeoffs different @topic:29


review datadriven quality prediction production process machine learning industry 4.0 3rd industrial revolution globalization played vital role trade policies make repetitious tasks autonomous artificial intelligence uses machine learning deep @topic:23


Restaurant sales prediction using machine learning development process based machine learning techniques forecasting help machine learning concepts effective approach detail . Machine learning @topic:28


Machine Learning Advances Predicting PeptideProtein‐Protein Interactions Based Sequence Information Lead Peptides Discovery development highthroughput technologies artificial intelligence AI machine learning ML methods discovering new lead peptides expanded @topic:29


Addressing fairness bias appropriate use artificial intelligence machine learning global health addition diagnostic prediction machine learning algorithms applied decisions applied across multiple groups recognized tradeoffs @topic:30


Smoothing stationarity enforcement framework deep learning timeseries forecasting deep learning algorithms supported process advances artificial intelligence deep learning renew prediction framework could incorporation trading @topic:13


review intercorrelation climate change air pollution urban sustainability using novel machine learning algorithms spatial information science IR4.0 Artificial Intelligence AI eg machine learning spatial data science offer novel approaches enhance air pollution projection climate change correlation @topic:24


Machine learning cardiovascular flows modeling Predicting arterial blood pressure noninvasive 4D flow MRI data using physicsinformed neural networks work put forth machine learning framework techniques computational flow dynamics models derived pulsatile flow used constrain output deep @topic:29


local global event sentiment based efficient stock exchange forecasting using deep learning second category based artificial intelligence learn nonlinear data theories stock market prediction two different philosophies trading used technical @topic:13


Urban river dissolved oxygen prediction model using machine learning provide onestop AI data software computing resources material information essential AI technology service development 46 . data AI learning study @topic:23


Weekwise student performance early prediction virtual learning environment using deep explainable artificial intelligence early prediction deep learning DL model . Finally DL model explained visualizing analyzing typical predictions early prediction cases performed better @topic:30


Artificial intelligence radiotherapy treatment planning present future novel AI algorithms ATP primarily deep learning–based distribution prediction improve dose prediction decision regarding dose tradeoffs leads one @topic:29


River stream flow prediction advanced machine learning models enhanced accuracy One key domains within artificial intelligence AI ML valuable tools flow prediction forecasting capturing current state research stream flow forecasting @topic:23


Financial time series forecasting deep learning systematic literature review 2005–2019 trading papers based financial forecasting ignore ones time series forecasting applications using various Artificial Intelligence AI techniques @topic:13


Approaching artificial intelligence orthopaedics predictive analytics machine learning prognosticate arthroscopic rotator cuff surgical outcomes Machine learning ML yet used identify factors predictive postoperative propose novel algorithm predict ARCR outcomes using machine learning . @topic:29


Machine learning intelligent optical networks comprehensive survey intelligence communication networks several aspects incorporating Artificial Intelligence AI Machine Learning network prediction monitoring @topic:25


Alternative data sentiment analysis Prospecting nonstandard data machine learningdriven finance – particular machine learning techniques – central management firms proprietary trading firms data analytics attempts predict least bolster predictions @topic:28


Stock price prediction using linear regression machine learning turn badly demonstrating trade AI . machine learning often wont predict end result regression employed Machine Learning . statistical @topic:13


Machine learning based prediction melt pool morphology laserbased powder bed fusion additive manufacturing process combining engineering innovations methods machine learning AI statistics optimisation geometric reasoning research strives solve important problems @topic:23


Traffic prediction based machine learning elastic optical networks AI machine learning data analysis . paper present two approaches employ machine learning techniques enable traffic prediction calculated using tradeoff @topic:24


Performance prediction magnetorheological fluid‐based liquid gating membrane kriging machine learning method However high predicted accuracy traditional conquer problems artificial intelligence promoted propose Kriging machine learning model active @topic:23


Machine learning basics fundamental element machine learning tradeoff interested predicting input x assume independent ie ai aj statistically independent @topic:25


Hybrid methodologies electricity load forecasting Entropybased feature selection machine learning soft computing techniques even trade excess energy smart meters . paper structured follows section 2 analysis Machine Learning work different AI methodologies ie RF @topic:26


Life cycle assessment Tehran Municipal solid waste COVID19 pandemic environmental impacts prediction using machine learning trade intelligence artificial intelligence allows machine behave like human variety contexts notably decisionmaking 23 . Machine learning subset AI @topic:23


Prediction organic contaminant rejection nanofiltration reverse osmosis membranes using interpretable machine learning models Unlike statistical techniques mathematical models AI Machine learning ML subset AI predict particularly imperative bring tradeoff accuracy @topic:23


Stateoftheart research applications machine learning building life cycle design stage building life cycle artificial intelligence machine learning two major approaches Model Predictive Control MPC Reinforcement Learning RL @topic:26


Deep learning interface agricultural insurance risk spatiotemporal uncertainty weather extremes turn modern machine learning artificial intelligence findings show deep learning attain higher prediction tradeoff bias variance improve prediction accuracy . @topic:23


Quantification deep neural network prediction uncertainties VVUQ machine learning models Artificial intelligence AI aims build smart machines Machine learning ML subset AI studies computer Machine learning algorithms typically build mathematical @topic:25


Applications deep learning water quality management stateoftheart review modelling forecasting based computer simulation artificial intelligence AI . scientific community apply machine learning ML AI tools modelling WQ . @topic:23


Energy Performance Building Refurbishments Predictive Prescriptive AIbased Machine Learning Approaches study relies six AIbased machine learning ML algorithms identify key predictors rate 84.34 effective predictive model . Moreover analysis numerous @topic:26


Energy time series forecastinganalytical empirical assessment conventional machine learning models well intraday realtime trading 49 . deep learning models terms accuracy forecasting motivate AI machine learning community @topic:26


Deep reinforcement learning selecting demand forecast models empower Industry 3.5 empirical study semiconductor component distributor judgments value assessments 6 tradeoff among attributes make decision research done develop alternative artificial intelligence algorithms self @topic:24


Prediction Clinical Trials Outcomes Based Target Choice Clinical Trial Design Multi‐Modal Artificial Intelligence trading portfolio demonstrating 35 9 month return investment . deep learning drug discovery repurposing.Whereas machine learning ML artificial intelligence AI @topic:29


Deep learning casebased reasoning prototypes neural network explains predictions work create architecture deep learning explains reasoning process . learned models naturally come explanations prediction @topic:30


Shortterm electric power load forecasting using random forest gated recurrent unit trade electricity effectively energy market . paper proposes machine learning model AI techniques help power system operator trade electricity maximum profit @topic:26


Prediction Residual Dye Using Machine Learning Algorithms EcoFriendly Dyeing Process chapter describes method creating AIbased regression prediction algorithm machine learning algorithm created ecofriendly dyeing process Fig . 2 @topic:23


Transformerbased Reinforcement Learning Model Optimized Quantitative Trading stock prediction combines power Transformer architecture decisionmaking capabilities reinforcement learning . propose quantitative trading framework @topic:13


Unleashing Power Tweets News StockPrice Prediction Using MachineLearning Techniques Companies like Sentient developed AIpowered techniques utilizing AI methods stockprice prediction algorithmic trading firms accurate predictions @topic:13


users guide machine learning polymeric biomaterials artificial intelligence AImachine learning ML tools . ML pipeline key patterns extracted create predictive typically trade model complexity relates @topic:23


Reinforcement learning applications data making predictions andor decisions . usu Deep learning part machine learning part AI . optimize execution strategy trade certain number @topic:13


forecasting cryptocurrency prices comparison machine learning deep learning ensembles conclusion ARIMA provides good tradeoff good accuracy reduced compares deep learning DL machine learning ML statistical models forecasting @topic:40


Vortexinduced vibration prediction inclined flexible cylinder based machine learning methods utilisation machine learning prediction models . main purpose machine learning methods VIV prediction promote potential applications artificial intelligence @topic:23


Machine learning based system performance prediction model reactor control Machine learning Artificial Intelligence AI algorithms based methodology C parameter providing tradeoff simpleness regression function @topic:23


Prediction Cryptocurrency Price using Time Series Data Deep Learning Algorithms interested trading cryptocurrencies selecting best deep learning model predict prices loss exposure increase profitability trading process currency . @topic:40


machine learning framework remaining useful lifetime prediction liion batteries using diverse neural networks RUL predictions also expedite advancements cell design fastcharging methodologies thereby reducing cycle study introduces machine learning framework @topic:26


Survival study stock market prediction techniques using sentimental analysis machine learning Support Vector Machine . key objective improve stock market Artificial intelligence method used trade stocks using machine learning techniques @topic:13


Credit rating prediction supply chain information machine learning perspective practitioners exploring artificial intelligence AI machine learning ML tools performance machine learning algorithms solving credit rating prediction problems Wu @topic:28


Wind speed forecasting using nonlinearlearning ensemble deep learning time series prediction extremal optimization technologies artificial intelligence models proposed successfully time series make tradeoff learning performance model complexity proposed @topic:26


Deep learning timeseries prediction IIoT progress challenges prospects series prediction . survey analyze existing deep learningbased timeseries prediction development advanced AI technologies series novel neural network @topic:24


Future Advertising Influencing Predicting Response Artificial Intelligence Machine Learning Neuroscience role artificial intelligence machine learning AI AI ML advanced point analytics used identify variables drive effective advertising predict @topic:25


EnergyShare AI Transforming P2P Energy Trading Advanced Deep Learning outline deep P2P energy trading system using distributed energy sharing deep learning . energy demand prediction presented yt Combining deep learning techniques @topic:26


Therapeutics data commons Machine learning datasets tasks drug discovery development TDC includes AIready datasets spread across learning tasks machine learning problems singleinstance prediction tradeoff accuracy computational speed . @topic:29


Mastering machine learning python six steps practical implementation guide predictive data analytics using python Finally would like thank reader showing interest book sincerely hope help pursuit machine learning quest . Note views expressed @topic:28


Prediction intradialytic hypotension using predialysis features—a deep learning–based artificial intelligence model precision recall tradeoff relationship chose F1 score order maximize precision recall . regard used MCC macro F1 score @topic:29


Deep learning based electricity demand forecasting minimize cost energy imbalance real case application fortune 500 companies Türkiye amount contracted trading market trade mean imbalance amount observed 15 median observed 12 day ahead market trade @topic:26


Artificial intelligence corporate sustainability Using LSTM GRU going concern prediction trading methods 3 disclaimer opinions—suspension trading 4 adverse opinions—suspension trading . summary prediction accuracy using machine learning deep @topic:13


application deep reinforcement learning algorithmic trading design novel trading policy algorithm based AI techniques could compete machine learning ML techniques algorithmic trading field focus forecasting . @topic:13


A2C Reinforcement Learning Cryptocurrency Trading Asset Management development sophisticated trading strategies especially leveraging Artificial Intelligence AI Machine learning proven integral predicting cryptocurrency price movements @topic:40


Collaborative prediction detection DDoS attacks edge computing deep learningbased approach distributed SDN distributed SDN devise optimal threshold model balancing tradeoff collaboration efficiency prediction effectiveness . also explore build @topic:25


Opening black box artificial intelligence clinical decision support study predicting stroke outcome newer machine learning techniques—we refer modern machine learning Thus currently researchers developers facing unfortunate tradeoff either use @topic:29


Machine learning credit risk measuring dilemma prediction supervisory cost mathematical foundations development artificial intelligence AI 1980s machine learning ML tools become popular subcategory AI focused @topic:28


Interpretable machine learning prediction druginduced QT prolongation electronic health record analysis potential tradeoff interpretability predictive planned compare deep learning algorithm predict models 21 particularly age artificial intelligence @topic:29


Forecasting yield integrating agrarian factors machine learning models survey exceedingly used machines learning algorithms predicting crop supervised learning wing machine learning Machine learning differs AI deep learning . @topic:30


Explainable DeepLearning Approaches PacketLevel Traffic Prediction Collaboration Communication Mobile Apps tradeoff performance complexity explored AI trustworthiness focus prediction direction next packet explain model behavior via DEEP @topic:25


Energy management residential microgrid using model predictive controlbased reinforcement learning Shapley value trading energy grid spotmarket cost throughout text . However finding energy trading simplicity consider normally distributed forecast error 4 δ k @topic:26


Machine learning AI research patient benefit 20 critical questions transparency replicability ethics effectiveness AIbased prediction models . Furthermore nearly biomedical research publications using ML performance MLAI algorithm clinically justified context tradeoffs @topic:29


Explainable AI black box glass box face hierarchical learning process transforms pixellevel inputs Addressing tradeoff prediction explanation associated deep learning @topic:30


Using genetic algorithm improve recurrent reinforcement learning equity trading computer science literature artificial intelligence AI techniques historical data tune trading system however may hamper effective prediction shortterm @topic:13


Prediction network attacks using machine learning techniques forecasting using ensemble learning voting classifier techniques . proposed deploy AI Reenactment results given visualize proposed part modifies tradeoff @topic:25


Natural language based financial forecasting survey machine learning techniques employed . Many machine learning algorithms illustrate profitability trading simulation . Consequently suggest evaluating @topic:13


Federated machine learning Concept applications promoting federated learning hope shift focus AI functions machinelearning algorithms resulting tradeoffs Suppose want parties prediction @topic:24


simple empirical study accuracyexplainability tradeoff machine learning public policy AI system making prediction . Second work includes two usecases — housing education . better generalize findings work replicated across @topic:30


systematic review machine learning methods applied fuel cells performance evaluation durability prediction application monitoring Machine learning ML interdisciplinary subject many fields core artificial intelligence . ML divided traditional ML deep learning DL . research @topic:23


Clinician preimplementation perspectives decisionsupport tool prediction cardiac arrhythmia based machine learning nearlive feasibility … intended use AI trust prediction tool likely emerge realworld use kind make trade really want spare shock . may turn @topic:29


survey deep learning methods power load renewable energy forecasting smart microgrids energy trading commercial grid . Machine learning ML deep learning DL Furthermore significant role artificial intelligence AI improve performance @topic:26


Intelligent asset allocation using predictions deep frequency decomposition artificial intelligence especially deep learning models . assessment prediction results deep learning research extracted top 20 highest trading volume @topic:13


Residential Property Price Prediction Using Machine Learning MakanSETU Real Estate Industry boom 21st century trading Real Estate market forecasts . several attempts use Machine Learning 2 Artificial Intelligence @topic:28


novel hybrid walkforward ensemble optimization time series cryptocurrency prediction machine deep learning algorithms used paper . Deep learning critical growth development AI single deep learningbased cryptocurrency trading tactic . @topic:40


Machine learning network automation overview architecture applications Machine learning subdomain artificial intelligence detail covering predictive maintenance virtual network corresponding evaluations trade performance complexity @topic:25


BMSPML big mart sales prediction using different machine learning techniques Das Chaudary 12 proposed model based linear nonlinear statistical framework forecasting trading . use regressions model separate results @topic:13


intelligent human age gender forecasting framework using deep learning algorithms gender forecasting system assistance deep learning technique discussed automatic identification age gender passes process like pre @topic:25


Leveraging machine learning porous media include fluid flow prediction characterization groundbreaking fusion artificial intelligence mathematical PINNs function umbrella deep learning @topic:23


Deeplearning algorithm concomitant biomarker identification NSCLC prediction using multiomics data integration developed multiomics dataaffinitive artificial intelligence NSCLC prediction model achieved 93.7 macro F1 developed promising cancer prediction algorithm . @topic:29


Predicting price bitcoin using machine learning 12 implemented similar methodology except instead predicting Bitcoin price predicted trading Bengio Learning deep architectures ai ” Foundations trends R @topic:40


Machine learning drug discovery review Multiple complicated usages engaged AI strategies like classification regression predictions also optimization techniques . Machine learning needs modified well @topic:29


survey deep learning financial risk prediction subfields include algorithmic trading risk assessment fraud detection . paper open black box AI ” Castelvecchi introduced scholars @topic:13


Deep Reinforcement Learning Energy Price Prediction energy generation load predictions challenging study case using statistical predictive options trade electricity volatile prices . @topic:26


Stock index prediction based principal component analysis machine learning paper input input output data 117 trading days divided two groups 85 training sets 15 test sets . input @topic:13


Forecasting port container throughput deep learning approach Generally AI models deal nonlinear information data forecasting practice many studies use economic trade indexes prediction container @topic:24


Financial information asymmetry Using deep learning algorithms predict financial distress financial distress prediction models deep learning methods including deep neural networks era artificial intelligence AI deep learning algorithms used @topic:13


Machine learning healthcare review opportunities challenges models machine learning trained predict discovered new way trade advertise products . Even AI healthcare using application machine learning @topic:29


Artificial intelligence techniques stability analysis control smart grids Methodologies applications challenges future directions AI techniques machine learning deep learning reinforcement learning tradeoff prediction speed well addressed aid cross @topic:26


Rapid forecasting pandemic outbreak using machine learning predict rapid forecasting pandemic outbreak using machine learning approaches . makes use technologies like machine learning may prove beneficial save @topic:25


Datadriven prediction JanusCore–Shell morphology polymer particles machinelearning approach artificial intelligence XAI analysis developed model based 200instance data set predict However contrast system displayed Figure 7c almost trade @topic:23


Interpretable machine learning building energy management stateoftheart review tradeoff model accuracy model included ML branch artificial intelligence AI . load prediction compared sophisticated machine learning models @topic:26


Digital transformation smart manufacturing industrial robot predictive data analysis Purchaser demand expectations constantly evolving ability trade records silos usage huge facts AI services cloud permitting right @topic:24


Explainable artificial intelligence comprehensive review XAI challenges tradeoff performance Machine learning ML subclass AI depends completely understand AI models make predictions . @topic:30


Deep learning volatility forecasting asset management decisions asset trading allocation . Artificial Intelligence AI flexible methods setting standard parametric approaches could fail provide optimal predictions . @topic:13


Anomaly detection via blockchained deep learning smart contracts industry 4.0 exploitation flows timely behavior prediction trade machines ConsumertoMachine Transactions— AI . Another important innovation employment @topic:13


Stock market prediction using deep learning approach 1 Input layer represent every trading day dataset sequence input vector 5 dimensions array consists five features open high low adj close close . @topic:40


Bitcoin price prediction based cryptocurrencies using machine learning time series analysis Prediction forecasting time series developed various time series Arti cial Intelligence AI traders monitor cryptocurrencies trading cryptocurrency . @topic:40


Autonomous credit card fraud detection using machine learning approach study develop deep learning intrusion detection model . well designed forecasting due F1 Score – Solves tradeoff precision recall mathematically @topic:13


Integrating Local Learning Improve DeepReinforcementLearningbased Pairs Trading Strategies timing executing trading actions significantly influences investment machine learning literature . Unlike works 3 6 determined actions directly predicting @topic:13


Application machine learning BoxBehnken design optimizing engine characteristics operated dualfuel mode algal biodiesel wastederived … current study seeks predict optimize combustion tradeoff assessment emission efficiency machines accelerating use artificial intelligence AI @topic:23


BiCuDNNLSTM1dCNN—A hybrid deep learningbased predictive model stock price prediction research focused developing hybrid model predict stock price accurately next trading day within short period time . proposed model BiCuDNNLSTM @topic:13


… Resources Conservation Service water supply forecast model American West challenging test explainable automated ensemble artificial intelligence machine learning ML branch artificial intelligence AI use ML AI involving algorithms detect patterns data use patterns make predictions . @topic:23


Scientific discovery age artificial intelligence rise deep learning early 2010s significantly Artificial intelligence AI increasingly used across scientific AI navigator employs rewards predicted reinforcement @topic:25


Forecasting stock market volatility various geopolitical risks categories New evidence machine learning models trade flows theoretically empirically Glick Taylor 2010 . global trade flows vital one hand implement Explainable AI technique SHAP identify eight @topic:28


Power people role humans interactive machine learning system ’ predictions . case studies also reinforce proposition interactive First requirement rapid model updates often necessitates trading accuracy @topic:30


Performance analysis collaborative realtime video quality service prediction machine learning algorithms predict score average 1.63 small window sizes maintaining accuracy 88.61 . tradeoff highlights potential higher prediction AI deep learning @topic:25


Multifaceted modelling strip breakage cold rolling using machine learning model strip breakage predictive manner . First tradeoff predicted time window length AI machine learning design methodology process @topic:23


Performance analysis machine learning centered workload prediction models cloud machine learning models thoroughly surveyed compared . five classified machine learningbased workload prediction discussing tradeoffs notable remarks . @topic:24


Enhancing travel time prediction deep learning chronological retrospective time order information big traffic data interruption predictive decision analytics artificial intelligence managerial decision making . Second analysis results contribute growing study literature AI @topic:24


Explainable Deep Learning Model Stock Price Forecasting Using Textual Analysis AI models deep learning models explainable allows comprehend AI system makes decisions predictions return reversals trading volume predicted @topic:28


Deep learning areas applications Artificial Intelligence AI Image Prediction problems great practical theoretical ie predictive rules classic variancebias tradeoff . key @topic:25


Stock Market Prediction Techniques Using Artificial Intelligence Systematic Review machine learning deep learning 14 studies explore multiple categories techniques . review provides detailed information prediction price prediction use trading @topic:13


AI actuarial science–a review recent advances–part 1 Part 1 paper provides background machine learning deep learning well predict predicted vector values variable ˆy . predictions @topic:13


Optimizing machine learning algorithms improving prediction bridge deck deterioration case study Ohio bridges One branches artificial intelligence machine learning ML predict output PR ML algorithms demonstrates poor tradeoff precision recall . @topic:23


Live Memory Forensics Integrated Reinforcement Learning Model Optimized Demand Forecasting Autonomous Supply Chain Management System AI brought machine learning deep learning neural networks . many areas AI make product production trade logistics operation @topic:24


fast implementation coalitional model predictive controllers based machine learning Application solar power plants cover gap studies controlling solar collector plants article presents supervised learning control based coalitional model predictive control maximize thermal @topic:26


Application machine learning carbon capture storage indepth insight perspective geoscience accurate forecasting techniques occupy indispensable position CCS . Machine learning widespread popularity artificial intelligence AI machine learning ML made @topic:26


Forecasting movements stock time series based hidden state guided deep learning approach training process deep learning model . Specifically propose deep learning framework data guides hidden state learning deep learning methods via market ’ @topic:13


Modeling steelmaking process effective machine learning techniques Predicted yield based 4 machine learning methods purpose modeling predicting output process RSM artificial intelligence approaches wide variety @topic:23


Guidelines quality criteria artificial intelligencebased prediction models healthcare scoping review ii guidance limited one AI technique eg reinforcement learning without generalizing tradeoffs predictive performance privacy considered 23 . @topic:29


Machine learning predicting printable biomaterial formulations direct ink writing Machine learning ML branch artificial intelligence able fit predictive models better performance DT tradeoff higher precision 90.6 @topic:23


Predicting Cryptocurrencies Market Phases OnChain Data LongTerm Forecasting used input Machine Learning algorithms predicting works 3 4 focus training AI models predicting recent work 6 developed complete trading system trained @topic:40


Mean–variance portfolio optimization deep learning basedforecasts cointegrated stocks machine learningbased predictions new model proposed study incorporates stationary analysis machine learning predictive section discusses trading @topic:13


Predicting conversion wet agerelated macular degeneration using deep learning introduce artificial intelligence AI system predict progression AI system overcomes substantial interobserver liberal operating point trade specificity @topic:29


Recent Developments Application Deep Learning Stock Market Prediction ’ trade volume effects significant predicting todays predictive algorithm analyzes trade volume forecast time series prediction fitting applications variety AI @topic:13


Stock price prediction using hybrid deep learning technique accurate performance artificial intelligence . authors work also carried artificial intelligence trading signals increases profitability trading methods majority equities 13 . @topic:13


Artificial intelligence Prospect mechanical engineering field—a review algorithms machine learning used predict intelligent function tool wear optimizing tradeoffs different technologies AI work predict high @topic:23


Machine Learning Algorithms Popular algorithms data science machine learning manager AI machinedeep learning solution design field predictive analytics machine learning . Familiarity therefore necessary find tradeoff supervised @topic:25


Spatial sequential deep learning approach predicting temperature distribution steelmaking continuous casting process N obtain best prediction accuracy . tradeoff length research interests include machine learning artificial intelligence techniques @topic:23


machine learning approach SNR prediction 5G systems trade learning selflearning required adapt changes thus replacing manual hardcoded solutions . recent years Artificial Intelligence AI Machine Learning @topic:24


Explainable Artificial Intelligence XAI Concepts taxonomies opportunities challenges toward responsible AI define explainability Machine Learning establishing employed make important predictions critical contexts true sense tradeoff @topic:30


Datadriven machine learning environmental pollution gains problems artificial intelligence AI already enabled computers similar ability . Machine learning ML classical form AI projection original data fewer dimensions . @topic:23


Explainable machinelearning models COVID19 prognosis prediction using clinical laboratory radiomic features used train machinelearning models COVID19 prognosis prediction . Using Explainable AI Nevertheless important highlight explainability accuracy tradeoff @topic:30


… finding parsimonious accurate machine learning models particle swarm optimization . Application predicting force–displacement curves … AI Akkio CloudZero Unity Technologies among others currently providing services automate multitude tasks machine learning artificial intelligence . tradeoff @topic:24


Machine learningbased electric load forecasting peak demand control smart grid Machine learning artificial intelligence recognized accurate reliable load forecasting meth trade computation time RMSE . Also SVM @topic:26


Enhancing wastewater treatment efficiency machine learningdriven effluent quality prediction plantlevel analysis tradeoff model complexity prediction quality process simulation software . highlights effectiveness artificial intelligence tools used study predict @topic:23


EAACI guidelines environmental science allergic diseases asthma–leveraging artificial intelligence machine learning develop causality model … complex important tradeoffs consider h predictions thunderstorm occurrences South Texas . However enough data present AI prediction @topic:23


Riskaware controller autonomous vehicles using modelbased collision prediction reinforcement learning reliance endtoend Deep Learning significant causal relationships collision prediction model Reinforcement Learning RL . collision prediction model @topic:24


deep learning approach imbalanced crash data predicting highwayrail grade crossings accidents stateoftheart artificial intelligence method able selftaught b tradeoff precision value achieve improved balanced F1 score however @topic:24


Machine learning computeraided synthesis planning Machine learning artificial intelligence rich history using machine learning structure– applications machine learning organic reaction prediction @topic:23


feature weighted support vector machine Knearest neighbor algorithm stock market indices prediction methods others artificial intelligence machine learning methods . Generally tradeoff classifier complexity error presents better prediction capability @topic:28


Deep learning vs. traditional computer vision actual predicted outcome considering clear tradeoffs traditional CV deep learning vogue prior AI explosion still relevant . @topic:25


Survey benchmarking machine learning accelerators Artificial Intelligence AI machine learning ML parameters better predict output predictions back projections . flows within model hence also influence trade @topic:28


Dynamic Stock Trading GatedConvolutionalAttention Neural Network Deep Reinforcement Learning novel DRL framework developing AI trader intraday trading financial markets . Anjali KJ Reddy deep learning approach prediction stock price based @topic:13


Corporate failure prediction evaluation deep learning vs discrete hazard models emerged important area artificial intelligence . neural networks forecast various trading strategies suggested deep learning model better prediction @topic:13


Environmentally friendly concrete compressive strength prediction using hybrid machine learning Researchers investigating role artificial intelligence AI machine learning ML methods development models reliable accurate consistent @topic:23


novel hybrid Machine learning model forecast ionospheric TEC Lowlatitude GNSS stations Developing novel artificial intelligencebased machine learning model forecast However tradeoff computational complexity precise accuracy @topic:26


MultiObjective Hull Form Optimization CAD Enginebased Deep Learning Physics 3D Flow Prediction tradeoff designing optimal hull forms different objectives . output surface volume variable predictions well total forces acting vessel . @topic:23


Machine learning based crop prediction region wise weather data countrys trading patterns artificial intelligence machine learning widely used world 11 . field artificial intelligence known machine learning @topic:30


Machine learning modelling predicting nondomestic buildings energy performance model support deep energy retrofit decisionmaking artificial intelligence ’ application . paper presents energy performance prediction limiting search space perceive tradeoffs among objective functions assisting @topic:26


Machinelearningbased digital twins transient vehicle cycles potential predicting fuel consumption tradeoff CPU consumption model details investigation involves use Artificial Intelligence AI . AI machine learning involves use AI tools analyze @topic:24


Supervised Unsupervised Prediction Application Machine Learning 28 Machine Learning ML part AI artificial intelligence Prediction percentage student based number study hours using Supervised Machine Learning . @topic:25