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Edge Computing in Healthcare Using Machine Learning: A Systematic Literature Review
WIREs Data Mining and Knowledge Discovery, Volume 16, Issue 1, March 2026.Three key parts of our review. This review examines recent research on integrating machine learning with edge computing in healthcare. It is structured around three key parts: the demographic characteristics of the selected studies; the themes, tools, motivations, and data sources; and the key limitations, challenges, and future research directions ...
Amir Mashmool +7 more
wiley +1 more source
An efficient federated learning based defense mechanism for software defined network cyber threats through machine learning models. [PDF]
Sci RepAmin R +5 more
europepmc +1 more source
Mapping Cyber Bot Behaviors: Understanding Payload Patterns in Honeypot Traffic. [PDF]
Sensors (Basel)Wang S, Tu C, Zhang Y, Zhang M, Xue P.
europepmc +1 more source
Proactive identification of cybersecurity compromises via the PROID compromise assessment framework. [PDF]
Sci RepAlkhalaf AA +3 more
europepmc +1 more source
Editorial: Machine learning for cybersecurity. [PDF]
Front Artif IntellWickramasinghe Brahmana CS +3 more
europepmc +1 more source
Incident-aware smart prioritization framework for penetration testing and prevention of URL-based cybersecurity attacks in industry 4.0 IoT networks. [PDF]
Sci RepNurlan Z +7 more
europepmc +1 more source
Understanding security challenges in the software supply chain through causal relationships. [PDF]
PLoS OneAdem A +4 more
europepmc +1 more source