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A distributed topology for identifying anomalies in an industrial environment., , , , , , , и . Neural Comput. Appl., 34 (23): 20463-20476 (2022)Comparative Study of Wastewater Treatment Plant Feature Selection for COD Prediction., , , , , , , и . DCAI (3), том 742 из Lecture Notes in Networks and Systems, стр. 11-20. Springer, (2023)Hybrid Classification Model Based on Supervised Techniques for Denial of Service Attacks Detection over CoAP Protocol., , , , , , , и . DCAI (3), том 742 из Lecture Notes in Networks and Systems, стр. 1-10. Springer, (2023)A novel intelligent approach for man-in-the-middle attacks detection over internet of things environments based on message queuing telemetry transport., , , , , , , и . Expert Syst. J. Knowl. Eng., (февраля 2024)Low Cost Three-Phase Motor Speed Control System Design for Educational Laboratory Practices., , , , , и . CISIS-ICEUTE, том 1400 из Advances in Intelligent Systems and Computing, стр. 315-324. Springer, (2021)3D Virtual Laboratory for Control Engineering Using Blended Learning Methodology., , , , , , и . CISIS-ICEUTE, том 532 из Lecture Notes in Networks and Systems, стр. 256-265. Springer, (2022)A novel method for anomaly detection using beta Hebbian learning and principal component analysis., , , , , , и . Log. J. IGPL, 31 (2): 390-399 (марта 2023)Denial of Service Attack Detection Based on Feature Extraction and Supervised Techniques., , , , , и . DCAI (2), том 585 из Lecture Notes in Networks and Systems, стр. 59-68. Springer, (2022)A Fault-Detection System Approach for the Optimization of Warship Equipment Replacement Parts Based on Operation Parameters., , , , , , , , и . Sensors, 23 (7): 3389 (апреля 2023)Development of an Intelligent Classifier Model for Denial of Service Attack Detection., , , , , и . Int. J. Interact. Multim. Artif. Intell., 8 (3): 33 (2023)