Abstract: Battery degradation remains a major challenge for battery electric vehicles (BEVs). The integration of supercapacitors as a secondary energy source to extend battery lifespan has gained ...

Abstract: Traditional trajectory planning algorithms for multi-UAVs face challenges such as difficulty in establishing cooperative mechanisms and poor adaptability to dynamic obstacle environments. To ...

High-dimensional data often contain noisy and redundant features, posing challenges for accurate and efficient feature selection. To address this, a dynamic multitask learning framework is proposed, ...

Deep neural networks (DNNs), which power modern artificial intelligence (AI) models, are machine learning systems that learn hidden patterns from various types of data, be it images, audio or text, to ...