Accurate remaining useful life estimation of lithium-ion batteries in electric vehicles based on a measurable feature-based approach with explainable AI

Efficient state of charge estimation in electric vehicles batteries based on the extra tree regressor: A data-driven approach

Toward Improving Breast Cancer Classification Using an Adaptive Voting Ensemble Learning Algorithm

A novel framework for photovoltaic energy optimization based on supply-demand constraints

A Novel Approach for Predicting Remaining Useful Life and Capacity Fade in Lithium-Ion Batteries Using Hybrid Machine Learning

A CNN-GRU Approach to the Accurate Prediction of Batteries’ Remaining Useful Life from Charging Profiles

Design-based system performance assessment of a combined power and freshwater cogeneration system

Analyzing Factors Affecting Micro-Mobility and Predicting Micro-Mobility Demand Using Ensemble Voting Regressor

Highly imbalanced fault classification of wind turbines using data resampling and hybrid ensemble method approach

Design and performance evaluation of a novel metamaterial broadband THz filter for 6G applications