Detection of disturbances and cyber-attacks in smart grids using explainable machine learning. [PDF]
Farsi M +7 more
europepmc +1 more source
Side Information-Based Stealthy False Data Injection Attacks Against Multi-Sensor Remote Estimation [PDF]
Haibin Guo, Zhong‐Hua Pang, Chao Li
openalex +1 more source
The aim of this study was to explore radiography students' knowledge, attitudes, and practice (KAP) relating to infection prevention and control (IPC) in the use of contrast media injectors in the computed tomography (CT) setting. Radiography students demonstrate varied comprehension of IPC regarding contrast media equipment within CT environment, and ...
Dania Abu Awwad +4 more
wiley +1 more source
ML-FSID-FIS: A Multi-Level Feature Selection and Fuzzy Inference System for Intrusion Detection in IoMT. [PDF]
Balhareth G, Ilyas M, Alkanjr B.
europepmc +1 more source
Estimation and Compensation of False Data Injection Attacks in LPV System Actuators
Pedro O. F. Pires +3 more
openalex +2 more sources
Detection and Defense Method Against False Data Injection Attacks for Distributed Load Frequency Control System in Microgrid [PDF]
Zhixun Zhang +5 more
openalex +1 more source
Abstract Background Bacterial wilt of enset (Ensete ventricosum (Welw.) Cheesman) is a severe disease caused by Xanthomonas campestris pv. musacearum, resulting in complete crop failure and considerable damage. This study assessed the biochemical responses of two enset clones (one resistant and one susceptible) when inoculated with the pathogen and ...
Getahun Yemata, Masresha Fetene
wiley +1 more source
SecuFL-IoT: an adaptive privacy-preserving federated learning framework for anomaly detection in smart industrial networks. [PDF]
Alqazzaz A.
europepmc +1 more source
Active Defense Against False Data Injection Attacks in Robotic Manipulators [PDF]
Gabriele Gualandi +2 more
openalex
Ai-enabled framework for anomaly detection in power distribution networks under false data injection attacks [PDF]
Hasnain Ahmad +4 more
openalex +1 more source

