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IEEE3mon
A New Fault Detection Method Using Machine Learning in Analog Radio-on-Fiber MIMO Transmission System | IEICE Journals & Magazine - IEEE Xplore
In this letter, we propose a new fault detection method in a wired-wireless multiple-input and multiple-output (MIMO) transmission over an analog radio-on-fiber (A-RoF) network. The A-RoF architecture ...
Design-Reuse7y
Wind Turbine Fault Detection Using Machine Learning And Neural Networks - Design And Reuse
4. Fault Detection Model Development using AI. Faults using sensor data can be detected by artificial intelligence techniques such as machine learning and neural networks. These techniques involve the ...
IEEE4y
Intrusion Detection for Cyber–Physical Systems Using Generative Adversarial Networks in Fog Environment - IEEE Xplore
Cyber-attacks cyber-physical systems (CPSs) can lead to sensing and actuation misbehavior, severe damages to physical objects, and safety risks. Machine learning algorithms have been proposed for ...
ITU6mon
Multistage classification in SDN security: A machine learning approach using real-world data for enhanced intrusion and vulnerability detection
Addressing these security concerns, this paper introduces an innovative machine learning-based Intrusion Detection System (IDS) tailored for SDNs, by proposing a three-stage CatBoost Classifier (3CC).