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Anomaly Behavior Analysis for Fog Nodes Availability Assurance in IoT Applications.

, , , and . AICCSA, page 1-6. IEEE Computer Society, (2019)

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Artificial Neural Networks-Based Intrusion Detection System for Internet of Things Fog Nodes., , , and . IEEE Access, (2020)AI Classifiers Comparison for Network Anomaly Behavior Analysis., , and . AICCSA, page 1-5. IEEE, (2022)Anomaly Behavior Analysis for Fog Nodes Availability Assurance in IoT Applications., , , and . AICCSA, page 1-6. IEEE Computer Society, (2019)Neural identification and control for linear induction motors., , and . J. Intell. Fuzzy Syst., 16 (1): 33-55 (2005)Trajectory Tracking Methodology using sEMG Signals for Tracking Finger Motions., and . ICCMA, page 40-45. ACM, (2018)Developing a Mini-heliostat Array for a Solar Central Tower Plant: A Practical Experience., , and . Intell. Autom. Soft Comput., 20 (2): 263-277 (2014)Decentralized adaptive recurrent neural control structure., , and . Eng. Appl. Artif. Intell., 20 (8): 1125-1132 (2007)Neural identification and control of a linear induction motor using an α - β model., , and . ACC, page 4041-4046. IEEE, (2003)Anomaly Behavior Analysis for Sensors Fault Detection., , and . SSCI, page 1718-1723. IEEE, (2023)Anomaly Behavior Analysis for IoT Network Nodes., , and . ICFNDS, page 18:1-18:6. ACM, (2019)