Abstract: This paper presents a streamlined and interpretable framework for handwritten digit classification on the MNIST dataset. While deep learning models offer superior accuracy, they often ...

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 ...