Results 181 to 190 of about 34,476 (259)
By manipulating current and voltage measurements, an assailant can induce unwanted relay action while attempting to avoid detection. Detecting advanced cyber intrusions in power protection environments requires specialised data analysis and anomaly detection methods.
Feras Alasali +6 more
wiley +1 more source
A SAR Ship Detection Method Based on Adversarial Training. [PDF]
Li J, Yu Z, Chen J, Jiang H.
europepmc +1 more source
This paper proposes a decentralized peer‐to‐peer federated learning framework for wind turbine bearing remaining useful life prediction, introducing a virtual client paradigm in which statistical health indicators serve as independent feature‐level clients—enabling privacy‐preserving collaborative prognostics from a single physical asset under ...
Jihene Sidhom +2 more
wiley +1 more source
Adversarial Training Based Domain Adaptation of Skin Cancer Images. [PDF]
Gilani SQ +4 more
europepmc +1 more source
A Comprehensive Review of AI‐Powered Energy Systems
The role of Artificial Intelligence (AI) in developing next‐generation energy systems is getting more day by day. Therefore, incorporating AI enables real‐time decision‐making and advanced grid management, which are essential for optimizing the use of intermittent renewable sources like wind and solar power.
Armin Razmjoo +5 more
wiley +1 more source
Chinese Named Entity Recognition for Automobile Fault Texts Based on External Context Retrieving and Adversarial Training. [PDF]
Wang S, Sun L.
europepmc +1 more source
ABSTRACT Background Venous insufficiency is a major cause of flap failure in head and neck reconstruction. AI provides a reliable, convenient solution for early detection. Methods Clinical data and postoperative flap photos of head and neck cancer patients (2018–2024) at our center were retrospectively collected, categorized into normal and venous ...
Yurong He +10 more
wiley +1 more source
Drug repositioning based on residual attention network and free multiscale adversarial training. [PDF]
Li G, Li S, Liang C, Xiao Q, Luo J.
europepmc +1 more source
Medical Reasoning With Large Language Models: A Systematic Review and Evaluation
ABSTRACT Large language models (LLMs) have achieved strong performance on medical exam–style tasks, motivating growing interest in their deployment in real‐world clinical settings. However, clinical decision‐making is inherently safety‐critical, context‐dependent, and conducted under evolving evidence.
Xiaohan Ren +6 more
wiley +1 more source
Cross-Species Prediction of Transcription Factor Binding by Adversarial Training of a Novel Nucleotide-Level Deep Neural Network. [PDF]
Zhang Q, Wang S, Li Z, Pan Y, Huang DS.
europepmc +1 more source

