Abstract: This article provides a comprehensive survey on the application of machine learning techniques for detecting False Data Injection Attacks (FDIA) in smart grids. It introduces a novel ...
Abstract: To address issues in influenza virus neuraminidase detection, such as lengthy testing cycles, high equipment costs, and reduced accuracy due to sensor cross-sensitivity, this paper proposes ...