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 ...

Hybrid vehicles have become an essential part of the automotive industry, combining fuel efficiency with technological innovation to create a more sustainable driving experience. Many hybrids utilize ...

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