| 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 | 717 | 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 | 415 | 2006 |
| Deep neural networks for energy load forecasting K Amarasinghe, DL Marino, M Manic 2017 IEEE 26th international symposium on industrial electronics (ISIE …, 2017 | 402 | 2017 |
| 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 | 346 | 2009 |
| 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 | 245 | 2016 |
| 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 | 244 | 2019 |
| Network traffic monitoring devices and monitoring systems, and associated methods K Derr, M Manic US Patent App. 12/238,123, 2010 | 221 | 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 | 165 | 2012 |
| 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 | 158 | 2018 |
| 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 | 140 | 2011 |
| 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 | 138 | 2018 |
| 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 | 129 | 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 | 128 | 2014 |
| 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 | 119 | 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 | 111 | 2009 |
| 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 | 95 | 2018 |
| Interval type-2 fuzzy voter design for fault tolerant systems O Linda, M Manic Information Sciences 181 (14), 2933-2950, 2011 | 93 | 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 | 89 | 2011 |
| 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 | 85 | 2014 |
| Mining bug databases for unidentified software vulnerabilities D Wijayasekara, M Manic, JL Wright, M McQueen 2012 5th International conference on human system interactions, 89-96, 2012 | 83 | 2012 |
Kasun AmarasingheCarnegie Mellon University在 andrew.cmu.edu 的电子邮件经过验证
