ISSN : 2663-2187
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Can Combination Therapy Improve Outcomes in PDE5i-Refractory Erectile Dysfunction? A Systematic Review of Low-Intensity Extracorporeal Shockwave Therapy
Volume 8 | Issue - 8
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Influence of Storage Temperature on the Bond Performance of Universal Adhesives: A Narrative Review
Volume 8 | Issue - 8
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Effects of direct acting antivirals(DAAs)on cryoglobulinemia in patients infected with hepatitis C virus
Volume 8 | Issue - 8
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Effect of Education Sessions About Plastic Usage Hazards and Its Safe Disposal on Knowledge and Reported Practice of Female Employees at Port Said University: A Pre–Post Intervention Study
Volume 8 | Issue - 7
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Soil Quality Under a Cocoa-Based Agroforestry System With Associated Indigenous Tree Species In The Department Of Divo (Cote d’Ivoire)
Volume 8 | Issue - 7
Intrusion detection in cyber-physical systems systems based on a federated learning approach
Main Article Content
Abstract
Cyber-physical systems (CPSs), a new computing system to control industrial infrastructures, are widely used in many key areas such as manufacturing, energy, and safety management systems. The rapid involvement of CPS in industry has considerably expanded the range of cyber threats. Many machine-learning methods have been employed for the design of effective anomaly detectors in CPSs.
