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Trend Factor Smoothing and Tasmanian Devil Optimization based Siamese Neural Network for anomaly detection in predictive maintenance. [PDF]
Hector I, Panjanathan R.
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Autonomous cyber-physical security middleware for IoT: anomaly detection and adaptive response in hybrid environments. [PDF]
Ortiz-Garcés I +2 more
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SensorAI: A Machine Learning Framework for Sensor Data. [PDF]
Coshatt S +5 more
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O-RAID: a satellite constellation architecture for ultra-resilient global data backup. [PDF]
Meegama RGN.
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Resilient [Formula: see text] filter design for networked control systems under communication jamming cyberattacks. [PDF]
Ali M +6 more
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A cyber-physical power system testing framework for power system transformation
2022The dependability of the power infrastructure is ensured by established testing practices. However, these practices do not address new stability phenomena or issues arising from cyber-physical interactions through increasingly digitalized control technologies.
Heussen, Kai +7 more
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Reliability assurance of cyber-physical power systems
IEEE PES General Meeting, 2010Modern power grids with their physical current-carrying components and the embedded computer, communication and control networks are fast emerging as one of the largest and most complex cyber-physical systems. The addition of more sensing, communication, variable power sources and storage under the renewable energy thrust and smart grid initiative will
Chanan Singh, Alex Sprintson
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A cyber physical power system co-simulation platform
2018 Workshop on Modeling and Simulation of Cyber-Physical Energy Systems (MSCPES), 2018With the tighter integration of power system and Information and Communication Technology (ICT), power grid is becoming a typical cyber physical system (CPS). It is important to analyze the impact of the cyber event on power system, so that it is necessary to build a co-simulation system for studying the interaction between power system and ICT.
Ming Ni +3 more
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