Design and Energy Dissipation Analysis of an Interaction-Region based Single-Polarity Reconfigurable XOR/XNOR Gate for Quantum Dot Cellular Automata

A Gaussian Process Regression based MPPT Strategy for Interharmonic Mitigation in On-Grid PV Systems

Multi-Objective Optimization Approach for Power Distribution Network Reconfiguration using Hybrid Particle Swarm and Genetic Algorithm

Topology-Aware Federated Multi-Agent Reinforcement Learning for Dual-Level Voltage Regulation in PV-Rich Distribution Grids

Nonlinear Complexity Features Add Nothing beyond the Power Spectrum in Motor-Imagery BCI: A Surrogate-Controlled Reassessment

An Integrated Explainable Machine Learning Framework for Cell-to-Pack Imbalance Prediction in Electric Vehicle Battery Systems

A Low-Cost Embedded System for Non-Technical Loss Detection in Low-Voltage Distribution Networks

An IoT System for Real-Time Energy Supervision of Public Lighting Circuits in Electrical Distribution Networks

Aging-Aware Attention-Driven Transformer Reinforcement Learning Framework for Sustainable Hybrid Battery Energy Management in Electric Vehicles

Substation Grounding Grid Design: A Diversified Grid-Geometrical Approach

Cost-Effective Microwave-Assisted Synthesis of Nanomaterials for Direct Alcohol Fuel Cell Applications

Review of Machine Learning Approaches for Leaf Disease Detection in Rice Crop: Trends, Challenges, and Future Opportunities