Bayesian Optimized Supervised Learning for Short-Term Net Load Forecasting in Distribution Grids with Net-Metering
Bayesian Optimized Supervised Learning for Short-Term Net Load Forecasting in Distribution Grids with Net-Metering
Between Rhetoric and Reality: Real-world Barriers to Uptake and Early Engagement in Digital Mental Health Interventions
BEVSeg2GTA: Joint Vehicle Segmentation and Graph Neural Networks for Ego Vehicle Trajectory Prediction in Bird’s-Eye-View
Beyond Categories: A Flow-Oriented Approach To Social Justice on Online Labor Platforms1
A Blockchain-Enabled Vehicular Edge Computing Framework for Secure Performance-Oriented V2X Service Delivery
Are recommended tackle techniques associated with superior performance outcomes? A retrospective video analysis study of elite women’s rugby union
Assessing Potential of UAV-Based Increase in Urban Disasters Communication on Traffic Congestion Mitigation
Assessing the Code Clone Detection Capability of Large Language Models
Automated anomaly detection for categorical data by repurposing a form filling recommender system
Automatic Commit Message Generation: A Critical Review and Directions for Future Work