| K-nearest neighbors and grid search cv based real time fault monitoring system for industries GSK Ranjan, AK Verma, S Radhika 2019 IEEE 5th international conference for convergence in technology (I2CT), 1-5, 2019 | 137 | 2019 |
| An efficient neural-network model for real-time fault detection in industrial machine AK Verma, S Nagpal, A Desai, R Sudha Neural Computing and Applications 33, 1297-1310, 2021 | 43 | 2021 |
| Wavelet based fault detection and diagnosis using online mcsa of stator winding faults due to insulation failure in industrial induction machine AK Verma, S Radhika, SV Padmanabhan 2018 IEEE Recent Advances in Intelligent Computational Systems (RAICS), 204-208, 2018 | 24 | 2018 |
| Random forest based real time fault monitoring system for industries IV Vamsi, N Abhinav, AK Verma, S Radhika 2018 4th International Conference on Computing Communication and Automation …, 2018 | 21 | 2018 |
| Wavelet and deep learning-based detection of SARS-nCoV from thoracic X-ray images for rapid and efficient testing AK Verma, I Vamsi, P Saurabh, R Sudha, GR Sabareesh, S Rajkumar Expert Systems with Applications 185, 115650, 2021 | 17 | 2021 |
| Automatic condition monitoring of industrial machines using fsa-based hall-effect transducer AK Verma, P Akkulu, SV Padmanabhan, S Radhika IEEE Sensors Journal 21 (2), 1072-1081, 2020 | 12 | 2020 |
| Quantitative modeling and simulation for stator inter-turn fault detection in industrial machine AK Verma, P Spandana, SV Padmanabhan, S Radhika Intelligent Computing and Communication: Proceedings of 3rd ICICC 2019 …, 2020 | 10 | 2020 |
| Neuro-fuzzy classifier for identification of stator winding inter-turn fault for industrial machine AK Verma, A Jain, S Radhika Modelling, Simulation and Intelligent Computing: Proceedings of MoSICom 2020 …, 2020 | 9 | 2020 |
| Web based application for quick and handy health condition monitoring system for a reliable wind power generation A Kumar Verma, S Radhika, N Surampudi ASME International Mechanical Engineering Congress and Exposition 84669 …, 2020 | 6 | 2020 |
| A modular zigbee-based iot platform for reliable health monitoring of industrial machines using refsa AK Verma, JV Vinod, R Sudha Microelectronics and Signal Processing, 179-188, 2021 | 5 | 2021 |
| Multi-level stator winding failure analysis on the insulation material for industrial induction motor AK Verma, S Radhika Experimental techniques, 1-15, 2021 | 4 | 2021 |
| Development of an AI-based FSA for real-time condition monitoring for industrial machine AK Verma, PD Raval, N Rajagopalan, V Khariya, R Sudha Neural Computing and Applications 34 (11), 8597-8615, 2022 | 1 | 2022 |
| Mobile Charger Based on Solar Energy with Solar Tracking System AK Verma, P Saurabh June, 2021 | 1 | 2021 |
| A reliable framework for predicting wind turbine failures utilising SCADA and Alarm data AK Verma, S Fatima, BK Panigrahi 2023 5th International Conference on System Reliability and Safety …, 2023 | | 2023 |
| Development of Lane Departure Warning System and SiL Testing for AV Systems in India AK Verma, R Vaibhav, V Perabhattula, P Rajalakshmi SAE Technical Paper, 2022 | | 2022 |
| GTN Damage Modelling of the AA6063 Using Image Processing S Rai, P Saurabh, AK Verma Journal of Brilliant Engineering 1, 4400, 2022 | | 2022 |
| Development of an Automatic Multi Component Fault Analysis System for Industrial Machines Using Machine Learning Techniques AK Verma Pilani, 2021 | | 2021 |
| Study of Gene-Gene Interaction Networks P Saurabh, AK Verma, S Rai, S Singla Journal of Nature 4, 16-18, 2021 | | 2021 |
Dr S RadhikaAssitant Professor, BITS Pilani-Hyderanad campus, HyderabadVerified email at hyderabad.bits-pilani.ac.in
