Zhengquan Chen

Reliability-Aware Dual-Stream Self-Training for Semi-Supervised Semantic Segmentation of High-Resolution Remote Sensing Imagery

RAPST is proposed, a reliability-aware dual-stream self-training framework that combines reliable offline supervision with full-data online learning and achieves the best performance in most dataset–annotation settings.

Remaining useful life prediction of electric vehicle drive system using physics-informed machine learning methods with uncertainty quantification