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 | 133 | 2015 |
Adaptive type-2 fuzzy approach for filtering salt and pepper noise in grayscale images V Singh, R Dev, NK Dhar, P Agrawal, NK Verma IEEE transactions on fuzzy systems 26 (5), 3170-3176, 2018 | 130 | 2018 |
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 | 129 | 2018 |
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 | 117 | 2013 |
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 | 115 | 2016 |
A wide-area damping controller considering network input and output delays and packet drop BP Padhy, SC Srivastava, NK Verma IEEE Transactions on Power Systems 32 (1), 166-176, 2016 | 96 | 2016 |
Adaptive critic-based event-triggered control for HVAC system NK Dhar, NK Verma, L Behera IEEE Transactions on Industrial Informatics 14 (1), 178-188, 2017 | 89 | 2017 |
SVM based methods for arrhythmia classification in ECG N Kohli, NK Verma, A Roy 2010 international conference on computer and communication technology …, 2010 | 89 | 2010 |
Intelligent fault diagnosis of rotary machines: Conditional auxiliary classifier GAN coupled with meta learning using limited data S Dixit, NK Verma, AK Ghosh IEEE Transactions on Instrumentation and Measurement 70, 1-11, 2021 | 83 | 2021 |
Content based color image classification using SVM S Agrawal, NK Verma, P Tamrakar, P Sircar 2011 Eighth International Conference on Information Technology: New …, 2011 | 78 | 2011 |
Robust wide-area TS fuzzy output feedback controller for enhancement of stability in multimachine power system BP Padhy, SC Srivastava, NK Verma IEEE Systems Journal 6 (3), 426-435, 2011 | 68 | 2011 |
Design of sliding mode and backstepping controllers for a quadcopter VK Tripathi, L Behera, N Verma 2015 39th national systems conference (NSC), 1-6, 2015 | 62 | 2015 |
Developing deep fuzzy network with Takagi Sugeno fuzzy inference system S Rajurkar, NK Verma 2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 1-6, 2017 | 59 | 2017 |
Intelligent condition-based monitoring of rotary machines with few samples S Dixit, NK Verma IEEE Sensors Journal 20 (23), 14337-14346, 2020 | 57 | 2020 |
Event-triggered sliding mode control for trajectory tracking of nonlinear systems A Mustafa, NK Dhar, NK Verma IEEE/CAA Journal of Automatica Sinica 7 (1), 307-314, 2019 | 57 | 2019 |
CNN-based transformer model for fault detection in power system networks JB Thomas, SG Chaudhari, KV Shihabudheen, NK Verma IEEE Transactions on Instrumentation and Measurement 72, 1-10, 2023 | 52 | 2023 |
Condition monitoring of machines using fused features from EMD-based local energy with DNN S Maurya, V Singh, NK Verma IEEE Sensors Journal 20 (15), 8316-8327, 2019 | 52 | 2019 |
A coherency-based approach for signal selection for wide area stabilizing control in power systems BP Padhy, SC Srivastava, NK Verma IEEE Systems Journal 7 (4), 807-816, 2013 | 52 | 2013 |
Arrhythmia classification using SVM with selected features N Kohli, NK Verma International Journal of Engineering, Science and Technology 3 (8), 122-131, 2011 | 46 | 2011 |
Finite‐time super twisting sliding mode controller based on higher‐order sliding mode observer for real‐time trajectory tracking of a quadrotor VK Tripathi, AK Kamath, L Behera, NK Verma, S Nahavandi IET Control Theory & Applications 14 (16), 2359-2371, 2020 | 44 | 2020 |