IEEE

Hybrid Feature Extraction and Deep Learning Framework for Power Transformer Fault Classification: A Real-World Case Study

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 ...
IEEE

Toward Deep Semi-Supervised Continual Learning: A Unified Survey for Scalable and Adaptive AI

Abstract: The integration of Deep Semi-Supervised Learning (DSSL) with Continual Learning (CL) holds significant promise for advancing artificial intelligence systems capable of learning from limited ...
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What to learn for deep learning – 3 clear roadmaps for beginners

Get started with deep learning the right way! Here are three practical learning roadmaps to guide beginners through math, programming, and model building. #DeepLearning #AI #MachineLearning Mike ...