IEEE

Machine Learning-Based Path Loss Prediction With Novel Diffraction and Morphology Features

Abstract: Several machine learning (ML) algorithms have been applied to predict path loss values, and various features have been proposed as input features in ML models. This study proposed two new ...
IEEE

Online Co-Estimation of the State-of-Health, State-of-Charge, and Remaining-Useful-Life of Lithium-Ion Batteries Using a Discrete Capacity Loss Model

Abstract: The main objectives of a battery management system (BMS) are to monitor the state-of-charge (SoC) and state-of-health (SoH) of lithium-ion batteries (LIBs). Due to their coupled nature, the ...