Ensemble learning methods, combining multiple models to improve overall accuracy and reliability, offer a promising approach to address this challenge. Objective: To develop and evaluate efficient ...

Abstract: Resource scheduling optimization in edge-cloud collaborative computing is a critical challenge due to dynamic workloads, latency constraints, and limited edge resources. This study proposes ...

Abstract: The motion control of distributed drive electric vehicles (DDEVs) under extreme operating conditions is significantly affected by the strong nonlinearities in vehicle dynamics. A novel ...