Deep learning approach for intelligent intrusion detection system R Vinayakumar, M Alazab, KP Soman, P Poornachandran, A Al-Nemrat, ... Ieee Access 7, 41525-41550, 2019 | 1464 | 2019 |
Stock price prediction using LSTM, RNN and CNN-sliding window model S Selvin, R Vinayakumar, EA Gopalakrishnan, VK Menon, KP Soman 2017 international conference on advances in computing, communications and …, 2017 | 1037 | 2017 |
Insight into wavelets: from theory to practice KP Soman PHI Learning Pvt. Ltd., 2010 | 650 | 2010 |
NSE stock market prediction using deep-learning models M Hiransha, EA Gopalakrishnan, VK Menon, KP Soman Procedia computer science 132, 1351-1362, 2018 | 596 | 2018 |
Applying convolutional neural network for network intrusion detection R Vinayakumar, KP Soman, P Poornachandran 2017 International Conference on Advances in Computing, Communications and …, 2017 | 572 | 2017 |
Robust intelligent malware detection using deep learning R Vinayakumar, M Alazab, KP Soman, P Poornachandran, ... IEEE access 7, 46717-46738, 2019 | 481 | 2019 |
A novel method for detecting R-peaks in electrocardiogram (ECG) signal MS Manikandan, KP Soman Biomedical signal processing and control 7 (2), 118-128, 2012 | 475 | 2012 |
Machine learning with SVM and other kernel methods KP Soman, R Loganathan, V Ajay PHI Learning Pvt. Ltd., 2009 | 329 | 2009 |
Diabetes detection using deep learning algorithms G Swapna, R Vinayakumar, KP Soman ICT express 4 (4), 243-246, 2018 | 273 | 2018 |
Automated detection of diabetes using CNN and CNN-LSTM network and heart rate signals G Swapna, S Kp, R Vinayakumar Procedia computer science 132, 1253-1262, 2018 | 243 | 2018 |
Deepairnet: Applying recurrent networks for air quality prediction V Athira, P Geetha, R Vinayakumar, KP Soman Procedia computer science 132, 1394-1403, 2018 | 233 | 2018 |
Data mining: theory and practice [with CD] KP Soman, S Diwakar, V Ajay PHI Learning Pvt. Ltd., 2006 | 230 | 2006 |
Implementation and comparative study of image fusion algorithms S Krishnamoorthy, KP Soman International Journal of Computer Applications 9 (2), 25-35, 2010 | 206 | 2010 |
Applying deep learning approaches for network traffic prediction R Vinayakumar, KP Soman, P Poornachandran 2017 International Conference on Advances in Computing, Communications and …, 2017 | 198 | 2017 |
A data-driven strategy for short-term electric load forecasting using dynamic mode decomposition model N Mohan, KP Soman, SS Kumar Applied energy 232, 229-244, 2018 | 180 | 2018 |
Evaluating shallow and deep neural networks for network intrusion detection systems in cyber security RK Vigneswaran, R Vinayakumar, KP Soman, P Poornachandran 2018 9th International conference on computing, communication and networking …, 2018 | 169 | 2018 |
Detecting Android malware using long short-term memory (LSTM) R Vinayakumar, KP Soman, P Poornachandran, S Sachin Kumar Journal of Intelligent & Fuzzy Systems 34 (3), 1277-1288, 2018 | 169 | 2018 |
Apache spark a big data analytics platform for smart grid R Shyam, BG HB, S Kumar, P Poornachandran, KP Soman Procedia Technology 21, 171-178, 2015 | 166 | 2015 |
Network flow based IoT botnet attack detection using deep learning S Sriram, R Vinayakumar, M Alazab, KP Soman IEEE INFOCOM 2020-IEEE conference on computer communications workshops …, 2020 | 145 | 2020 |
Deep power: Deep learning architectures for power quality disturbances classification N Mohan, KP Soman, R Vinayakumar 2017 international conference on technological advancements in power and …, 2017 | 140 | 2017 |