Abstract: Deep-transfer-learning-based fault diagnosis methods are prone to encounter challenges in cross-domain knowledge transfer, particularly when facing limited labeled samples and the diagnostic ...

Developed by the American Heart Association, these Guidelines represent the first comprehensive update of education recommendations since 2020. Incorporating the results of structured evidence reviews ...

Abstract: This study develops a novel framework to cali-brate multi-class mesoscopic network models utilizing traffic density measurements derived from high-resolution satellite imagery. Satellite ...