Frontiers

Machine Learning and AI-Driven Biomechanics in Orthopedic Surgery

Rapid advances in artificial intelligence, machine learning, and data-driven computational modeling have opened unprecedented opportunities to transform ...
IEEE

Machine Learning (ML)-Based Fault Detection Strategy for Power Switches in Electric Mobility

Abstract: With the rapid proliferation of electric mobility, especially electric vehicles (EVs), ensuring the reliability and safety of various power electronics components, such as inverters, ...
IEEE

A Review of Machine Learning Approaches for Fault Detection in Photovoltaic Systems

This study systematically reviews fault types in photovoltaic systems and advanced detection methods with a focus on machine learning applications. Environmental and operational challenges, such as ...
GitHub

Flash LiDAR Vehicle Detection with MATLAB Dataset and Deep Learning Benchmarks

This repository provides code and workflows to test several state-of-the-art vehicle detection deep learning algorithms —including YOLOX, SalsaNext, RandLA-Net, and VoxelRCNN— on a Flash Lidar dataset ...