Abstract: Reliable fault diagnosis in power transformers is paramount for ensuring grid stability and safeguarding critical assets. This paper proposes a novel deep learning-based diagnostic framework ...

By using simplified and innovative drivetrain configurations, these hybrid vehicles achieve a balance between performance, reliability, and environmental responsibility. The increasing availability of ...

Abstract: Traffic congestion, accidents, and unpredictable driver behaviour remain significant challenges in urban transportation systems. Traditional traffic simulation models often fail to adapt to ...