| A deep learning framework for building energy consumption forecast N Somu, GR MR, K Ramamritham Renewable and Sustainable Energy Reviews 137, 110591, 2021 | 399 | 2021 |
| A hybrid model for building energy consumption forecasting using long short term memory networks N Somu, GR MR, K Ramamritham Applied Energy 261, 114131, 2020 | 362 | 2020 |
| An efficient intrusion detection system based on hypergraph-Genetic algorithm for parameter optimization and feature selection in support vector machine MRG Raman, N Somu, K Kirthivasan, R Liscano, VSS Sriram Knowledge-Based Systems 134, 1-12, 2017 | 278 | 2017 |
| A hypergraph and arithmetic residue-based probabilistic neural network for classification in intrusion detection systems MRG Raman, N Somu, K Kirthivasan, VSS Sriram Neural Networks 92, 89-97, 2017 | 110 | 2017 |
| An efficient intrusion detection technique based on support vector machine and improved binary gravitational search algorithm MRG Raman, N Somu, S Jagarapu, T Manghnani, T Selvam, ... | 93* | |
| A multilayer perceptron model for anomaly detection in water treatment plants GR MR, N Somu, AP Mathur International Journal of Critical Infrastructure Protection 31, 100393, 2020 | 74 | 2020 |
| A trust centric optimal service ranking approach for cloud service selection N Somu, GR MR, K Kirthivasan, SS VS Future Generation Computer Systems 86, 234-252, 2018 | 71 | 2018 |
| Challenges in machine learning based approaches for real-time anomaly detection in industrial control systems CM Ahmed, GR MR, AP Mathur Proceedings of the 6th ACM on cyber-physical system security workshop, 23-29, 2020 | 63 | 2020 |
| Machine learning for intrusion detection in industrial control systems: challenges and lessons from experimental evaluation GR MR, CM Ahmed, A Mathur Cybersecurity 4 (1), 27, 2021 | 61 | 2021 |
| Hypergraph based feature selection technique for medical diagnosis N Somu, MRG Raman, K Kirthivasan, VSS Sriram Journal of medical systems 40, 1-16, 2016 | 42 | 2016 |
| Deep autoencoders as anomaly detectors: Method and case study in a distributed water treatment plant MRG Raman, W Dong, A Mathur Computers & Security 99, 102055, 2020 | 41 | 2020 |
| An improved robust heteroscedastic probabilistic neural network based trust prediction approach for cloud service selection N Somu, GR MR, V Kalpana, K Kirthivasan, SS VS Neural Networks 108, 339-354, 2018 | 40 | 2018 |
| Anomaly detection in critical infrastructure using probabilistic neural network MR Gauthama Raman, N Somu, AP Mathur International Conference on Applications and Techniques in Information …, 2019 | 38 | 2019 |
| Development of rough set–hypergraph technique for key feature identification in intrusion detection systems MRG Raman, K Kirthivasan, VSS Sriram Computers & Electrical Engineering 59, 189-200, 2017 | 30 | 2017 |
| A hybrid physics-based data-driven framework for anomaly detection in industrial control systems MRG Raman, AP Mathur IEEE Transactions on Systems, Man, and Cybernetics: Systems 52 (9), 6003-6014, 2021 | 25 | 2021 |
| Rough Set-hypergraph-based Feature Selection Approach for Intrusion Detection Systems. MR Raman, K Kannan, SK Pal, VS Sriram Defence Science Journal 66 (6), 2016 | 23 | 2016 |
| IBGSS: An Improved Binary Gravitational Search Algorithm based search strategy for QoS and ranking prediction in cloud environments N Somu, GR MR, A Kaveri, K Krithivasan, SS VS Applied Soft Computing 88, 105945, 2020 | 16 | 2020 |
| AICrit: A unified framework for real-time anomaly detection in water treatment plants GR Mr, AP Mathur Journal of Information Security and Applications 64, 103046, 2022 | 15 | 2022 |
| An improved rough set approach for optimal trust measure parameter selection in cloud environments S Nivethitha, MR Gauthama Raman, O Gireesha, K Kannan, ... Soft Computing 23, 11979-11999, 2019 | 15 | 2019 |
| E-FPROMETHEE: an entropy based fuzzy multi criteria decision making service ranking approach for cloud service selection BA Kaveri, O Gireesha, N Somu, MG Raman, VS Sriram International Conference on Intelligent Information Technologies, 224-238, 2018 | 15 | 2018 |
Nivethitha SomuCleantech One, Energy Research Institute at Nanyang Technological University (ERI@N)כתובת אימייל מאומתת בדומיין ntu.edu.sg