| Intelligent condition based monitoring using acoustic signals for air compressors NK Verma, RK Sevakula, S Dixit, A Salour IEEE Transactions on Reliability 65 (1), 291-309, 2015 | 138 | 2015 |
| Transfer learning for molecular cancer classification using deep neural networks RK Sevakula, V Singh, NK Verma, C Kumar, Y Cui IEEE/ACM transactions on computational biology and bioinformatics 16 (6 …, 2018 | 134 | 2018 |
| State‐of‐the‐art machine learning techniques aiming to improve patient outcomes pertaining to the cardiovascular system RK Sevakula, WTM Au‐Yeung, JP Singh, EK Heist, EM Isselbacher, ... Journal of the American Heart Association 9 (4), e013924, 2020 | 127 | 2020 |
| Generating feature sets for fault diagnosis using denoising stacked auto-encoder R Thirukovalluru, S Dixit, RK Sevakula, NK Verma, A Salour 2016 IEEE International Conference on Prognostics and Health Management …, 2016 | 119 | 2016 |
| Intelligent condition based monitoring of rotating machines using sparse auto-encoders NK Verma, VK Gupta, M Sharma, RK Sevakula 2013 IEEE Conference on prognostics and health management (PHM), 1-7, 2013 | 118 | 2013 |
| Compounding general purpose membership functions for fuzzy support vector machine under noisy environment RK Sevakula, NK Verma IEEE Transactions on Fuzzy Systems 25 (6), 1446-1459, 2017 | 48 | 2017 |
| Assessing generalization ability of majority vote point classifiers RK Sevakula, NK Verma IEEE Transactions on Neural Networks and Learning Systems 28 (12), 2985-2997, 2016 | 39 | 2016 |
| Object matching using speeded up robust features NK Verma, A Goyal, AH Vardhan, RK Sevakula, A Salour Intelligent and Evolutionary Systems: The 19th Asia Pacific Symposium, IES …, 2016 | 34 | 2016 |
| Layerwise feature selection in Stacked Sparse Auto-Encoder for tumor type prediction V Singh, N Baranwal, RK Sevakula, NK Verma, Y Cui 2016 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2016 | 29 | 2016 |
| Pattern analysis framework with graphical indices for condition-based monitoring NK Verma, RK Sevakula, R Thirukovalluru IEEE Transactions on Reliability 66 (4), 1085-1100, 2017 | 27 | 2017 |
| Smartphone application for fault recognition NK Verma, S Singh, JK Gupta, RK Sevakula, S Dixit, A Salour 2012 Sixth International Conference on Sensing Technology (ICST), 1-6, 2012 | 27 | 2012 |
| Unsupervised approach for object matching using speeded up robust features AH Vardhan, NK Verma, RK Sevakula, A Salour 2015 IEEE Applied Imagery Pattern Recognition Workshop (AIPR), 1-8, 2015 | 24 | 2015 |
| Ranking of sensitive positions based on statistical parameters and cross correlation analysis NK Verma, K Piyush, RK Sevakula, S Dixit, A Salour 2012 Sixth International Conference on Sensing Technology (ICST), 815-821, 2012 | 24 | 2012 |
| Template matching for inventory management using fuzzy color histogram and spatial filters NK Verma, A Goyal, A Chaman, RK Sevakula, A Salour 2015 ieee 10th conference on industrial electronics and applications (iciea …, 2015 | 23 | 2015 |
| Real‐time arrhythmia detection using hybrid convolutional neural networks SC Bollepalli, RK Sevakula, WTM Au‐Yeung, MB Kassab, FM Merchant, ... Journal of the American Heart Association 10 (23), e023222, 2021 | 20 | 2021 |
| Vision based object counting using speeded up robust features for inventory control NK Verma, T Sharma, RK Sevakula, A Salour 2016 International Conference on Computational Science and Computational …, 2016 | 19 | 2016 |
| Android app for intelligent CBM NK Verma, S Sarkar, S Dixit, RK Sevakula, A Salour 2013 IEEE International Symposium on Industrial Electronics, 1-6, 2013 | 19 | 2013 |
| Support vector machine for large databases as classifier RK Sevakula, NK Verma Swarm, Evolutionary, and Memetic Computing: Third International Conference …, 2012 | 19 | 2012 |
| Signal transforms for feature extraction from vibration signal for air compressor monitoring NK Verma, R Gupta, RK Sevakula, A Salour TENCON 2014-2014 IEEE Region 10 Conference, 1-6, 2014 | 18 | 2014 |
| Comparative analysis of Gaussian mixture model, logistic regression and random forest for big data classification using map reduce V Singh, RK Gupta, RK Sevakula, NK Verma 2016 11th International Conference on Industrial and Information Systems …, 2016 | 16 | 2016 |
Nishchal K VermaIndian Institute of Technology Kanpurایمیل تأیید شده در iitk.ac.in
