Milos Manic, Professor, IEEE Fellow
Milos Manic, Professor, IEEE Fellow
Professor of Comp. Science, Director of Cybersecurity Center, Virginia Commonwealth University
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Citata da
Citata da
Building energy load forecasting using deep neural networks
DL Marino, K Amarasinghe, M Manic
IECON 2016-42nd Annual Conference of the IEEE Industrial Electronics Society …, 2016
CIMS: A framework for infrastructure interdependency modeling and analysis
DD Dudenhoeffer, MR Permann, M Manic
Proceedings of the 2006 winter simulation conference, 478-485, 2006
Neural network based intrusion detection system for critical infrastructures
O Linda, T Vollmer, M Manic
2009 international joint conference on neural networks, 1827-1834, 2009
Deep neural networks for energy load forecasting
K Amarasinghe, DL Marino, M Manic
2017 IEEE 26th international symposium on industrial electronics (ISIE …, 2017
Building energy management systems: The age of intelligent and adaptive buildings
M Manic, D Wijayasekara, K Amarasinghe, JJ Rodriguez-Andina
IEEE Industrial Electronics Magazine 10 (1), 25-39, 2016
Network traffic monitoring devices and monitoring systems, and associated methods
K Derr, M Manic
US Patent App. 12/238,123, 2010
General type-2 fuzzy c-means algorithm for uncertain fuzzy clustering
O Linda, M Manic
IEEE Transactions on Fuzzy Systems 20 (5), 883-897, 2012
Big data analytics in smart grids: state‐of‐the‐art, challenges, opportunities, and future directions
BP Bhattarai, S Paudyal, Y Luo, M Mohanpurkar, K Cheung, R Tonkoski, ...
IET Smart Grid 2 (2), 141-154, 2019
Uncertainty-robust design of interval type-2 fuzzy logic controller for delta parallel robot
O Linda, M Manic
IEEE transactions on industrial informatics 7 (4), 661-670, 2011
Intelligent buildings of the future: Cyberaware, deep learning powered, and human interacting
M Manic, K Amarasinghe, JJ Rodriguez-Andina, C Rieger
IEEE Industrial Electronics Magazine 10 (4), 32-49, 2016
Mining building energy management system data using fuzzy anomaly detection and linguistic descriptions
D Wijayasekara, O Linda, M Manic, C Rieger
IEEE Transactions on Industrial Informatics 10 (3), 1829-1840, 2014
An adversarial approach for explainable ai in intrusion detection systems
DL Marino, CS Wickramasinghe, M Manic
IECON 2018-44th Annual Conference of the IEEE Industrial Electronics Society …, 2018
Multi-robot, multi-target particle swarm optimization search in noisy wireless environments
K Derr, M Manic
2009 2nd conference on human system interactions, 81-86, 2009
Toward explainable deep neural network based anomaly detection
K Amarasinghe, K Kenney, M Manic
2018 11th International Conference on Human System Interaction (HSI), 311-317, 2018
Generalization of deep learning for cyber-physical system security: A survey
CS Wickramasinghe, DL Marino, K Amarasinghe, M Manic
IECON 2018-44th Annual Conference of the IEEE Industrial Electronics Society …, 2018
Interval type-2 fuzzy voter design for fault tolerant systems
O Linda, M Manic
Information Sciences 181 (14), 2933-2950, 2011
Fuzzy logic based anomaly detection for embedded network security cyber sensor
O Linda, M Manic, T Vollmer, J Wright
2011 IEEE Symposium on computational intelligence in cyber security (CICS …, 2011
Deep learning and reconfigurable platforms in the internet of things: Challenges and opportunities in algorithms and hardware
RF Molanes, K Amarasinghe, J Rodriguez-Andina, M Manic
IEEE industrial electronics magazine 12 (2), 36-49, 2018
Cyber-Physical System Security With Deceptive Virtual Hosts for Industrial Control Networks
T Vollmer, M Manic
Industrial Informatics, IEEE Transactions on 10 (2), 1337-1347, 2014
Self-organizing fuzzy haptic teleoperation of mobile robot using sparse sonar data
O Linda, M Manic
IEEE transactions on industrial electronics 58 (8), 3187-3195, 2009
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
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