IEEE

A Parallel Dual-Branch Deep Learning Framework Integrating VMD Feature Engineering and Multiscale Temporal Feature Fusion for Small-Sample Fault Diagnosis

Abstract: Rolling bearings are crucial in mechanical systems, where failures pose safety risks and economic losses. However, their rarity makes timely fault detection and data collection challenging.
IEEE

EGTCN: An Efficient Graph and Temporal Convolution Network for Sensor-Based Human Activity Recognition in Federated Learning

Abstract: Technology advancements have led to the emergence of edge devices, wearable sensors, and the Internet of Things (IoT) that have revolutionized how we interact with technology. These devices ...