Machine Learning

A Comparative Study of Reinforcement Learning Algorithms for Distribution Network Reconfiguration

A Comparative Study of Reinforcement Learning Algorithm...

A Comparative Study of Reinforcement Learning Algorithms for Distribution Networ...

A Comparative Study of Situation Awareness-Based Decision-Making Model Reinforcement Learning Adaptive Automation in Evolving Conditions

A Comparative Study of Situation Awareness-Based Decisi...

A Comparative Study of Situation Awareness-Based Decision-Making Model Reinforce...

A Comparative Study on Methods for Fusing Data-Driven and Physics-Based Models for Hybrid Remaining

A Comparative Study on Methods for Fusing Data-Driven a...

A Comparative Study on Methods for Fusing Data-Driven and Physics-Based Models f...

A Comparison of Signal Combinations for Deep Learning-Based Simultaneous Sleep Staging and Respiratory Event Detection

A Comparison of Signal Combinations for Deep Learning-B...

A Comparison of Signal Combinations for Deep Learning-Based Simultaneous Sleep S...

A Comprehensive Deep Learning-Based Outlier Removal Method for Multibeam Bathymetric Point Cloud

A Comprehensive Deep Learning-Based Outlier Removal Met...

A Comprehensive Deep Learning-Based Outlier Removal Method for Multibeam Bathyme...

A Comprehensive Investigation of the Impact of Class Overlap on Software Defect Prediction

A Comprehensive Investigation of the Impact of Class Ov...

A Comprehensive Investigation of the Impact of Class Overlap on Software Defect ...

A Comprehensive Review of Harmonic Issues and Estimation Techniques in Power System Networks Based on Traditional

A Comprehensive Review of Harmonic Issues and Estimatio...

A Comprehensive Review of Harmonic Issues and Estimation Techniques in Power Sys...

A Comprehensive Survey of V2X Cybersecurity Mechanisms and Future Research Paths

A Comprehensive Survey of V2X Cybersecurity Mechanisms ...

A Comprehensive Survey of V2X Cybersecurity Mechanisms and Future Research Paths

A Comprehensive Survey on Arabic Sarcasm Detection Approaches, Challenges and Future Trends

A Comprehensive Survey on Arabic Sarcasm Detection Appr...

A Comprehensive Survey on Arabic Sarcasm Detection Approaches, Challenges and Fu...

A Compressed Unsupervised Deep Domain Adaptation Model for Efficient Cross-Domain Fault Diagnosis

A Compressed Unsupervised Deep Domain Adaptation Model ...

A Compressed Unsupervised Deep Domain Adaptation Model for Efficient Cross-Domai...

A Configurable 10T SRAM-Based IMC Accelerator With Scaled-Voltage-Based Pulse Count Modulation for MAC

A Configurable 10T SRAM-Based IMC Accelerator With Scal...

A Configurable 10T SRAM-Based IMC Accelerator With Scaled-Voltage-Based Pulse Co...

A Contextual Multimodal System for Increasing Situation Awareness and Takeover Quality in Conditionally Automated Driving

A Contextual Multimodal System for Increasing Situation...

A Contextual Multimodal System for Increasing Situation Awareness and Takeover Q...

A Continuous Late-Onset Sepsis Prediction Algorithm for Preterm Infants Using Multi-Channel Physiological Signals From a Patient Monitor

A Continuous Late-Onset Sepsis Prediction Algorithm for...

A Continuous Late-Onset Sepsis Prediction Algorithm for Preterm Infants Using Mu...

A Convolutional Neural Network-Based Maximum Power Point Voltage Forecasting Method for Pavement PV Array

A Convolutional Neural Network-Based Maximum Power Poin...

A Convolutional Neural Network-Based Maximum Power Point Voltage Forecasting Met...

A Critical Survey of EEG-Based BCI Systems for Applications in Industrial Internet of Things

A Critical Survey of EEG-Based BCI Systems for Applicat...

A Critical Survey of EEG-Based BCI Systems for Applications in Industrial Intern...

A D2D-Aided Federated Learning Scheme With Incentive Mechanism in 6G Networks

A D2D-Aided Federated Learning Scheme With Incentive Me...

A D2D-Aided Federated Learning Scheme With Incentive Mechanism in 6G Networks