Abstract: Securing systems, networks, and information amid cyber threats involves a blend of machine learning and cybersecurity, which uses machine learning to identify abnormal behaviors, classify ...
The 2026 picoCTF competition has officially expanded with more challenges than ever before, yet the transition from the block-based logic of Karel to the raw Python scripting required for CTFs remains ...
Why it matters: Linear algebra underpins machine learning, enabling efficient data representation, transformation, and optimization for algorithms like regression, PCA, and neural networks. Python ...
Abstract: This paper addresses the challenge of fault type identification in distribution networks, where small-current grounding systems often lead to weak fault current characteristics and limit the ...