| Analysis of statistical time-domain features effectiveness in identification of bearing faults from vibration signal BR Nayana, P Geethanjali IEEE Sensors Journal 17 (17), 5618-5625, 2017 | 200 | 2017 |
| Improved identification of various conditions of induction motor bearing faults BR Nayana, P Geethanjali IEEE Transactions on Instrumentation and Measurement 69 (5), 1908-1919, 2019 | 19 | 2019 |
| EFFECTIVE TIME DOMAIN FEATURES FOR IDENTIFICATION OF BEARING FAULT USING LDA AND NB CLASSIFIERS BR NAYANA, P GEETHANJALI International Journal of Mechanical and Production Engineering Research and …, 2018 | 8 | 2018 |
| Computerized diagnosis of polycystic ovary syndrome using machine learning and swarm intelligence techniques R Subha, BR Nayana, R Radhakrishnan, P Sumalatha | 6 | 2023 |
| Identification of Bearing Faults Using Statistical Time Domain Features and Fused Time-Domain Descriptor Features BR Nayana, P Geethanjali Journal of Advanced Research in Dynamical and Control Systems 10 (3), 17-26, 2018 | 6 | 2018 |
| Feature Extraction for Bearing Fault Diagnosis in Noisy Environment: A Study BR Nayana, P Geethanjali 2019 Innovations in Power and Advanced Computing Technologies (i-PACT) 1, 1-5, 2019 | 3 | 2019 |
| Study of effective feature combination for fault diagnosis of bearings in motors BR Nayana, P Geethanjali 2020 3rd International Conference on Intelligent Sustainable Systems (ICISS …, 2020 | 2 | 2020 |
| A low-cost laboratory based research platform for mechanical faults diagnosis of Induction Motor using FFT BR Nayana, P Geethanjali 2017 Innovations in Power and Advanced Computing Technologies (i-PACT), 1-5, 2017 | 2 | 2017 |
| Hybrid Machine Learning Model Using Particle Swarm Optimization for Effectual Diagnosis of Alzheimer's Disease from Handwriting R Subha, BR Nayana, M Selvadass 2022 4th International Conference on Circuits, Control, Communication and …, 2022 | 1 | 2022 |
| A Study on Pattern Analysis of Extracted Features from Bearing Fault Vibration Signals BR Nayana, P Geethanjali 2021 Innovations in Power and Advanced Computing Technologies (i-PACT), 1-6, 2021 | 1 | 2021 |
| Computational intelligence for early detection of infertility in women R Subha, BR Nayana, R Radhakrishnan, P Sumalatha Engineering Applications of Artificial Intelligence 127, 107400, 2024 | | 2024 |
| Bearing Fault Detection: Feature Selection Algorithm Efficacy Study N BR, G P IETE Journal of Research, 1-10, 2023 | | 2023 |
| A Study on Prediction of Myocardial Infarction Using Computational Intelligence and Machine Learning Algorithms R Subha, BR Nayana, M Selvadass 2023 Second International Conference on Trends in Electrical, Electronics …, 2023 | | 2023 |
| Design and Development of an IOT based Smart Helmet for Two Wheelers BR Navana, R Eldho, A Bhat, MS Selva, MV Raju, N Manohar 2022 3rd International Conference on Communication, Computing and Industry 4 …, 2022 | | 2022 |
| Identification and Validation of Prominent Features for Predicting Mortality in Heart Patients with Left Ventricular Dysfunction Using Machine Learning R Subha, R Radhakrishnan, P Sumalatha, BR Nayana Smart Energy and Advancement in Power Technologies: Select Proceedings of …, 2022 | | 2022 |
| Severity Identification and multi-Fault Classification of Roller Bearings BR NAYANA, P Geethanjali International Journal of Pure and Applied Mathematics 119 (14), 221-229, 2018 | | 2018 |
| Application of coherent de-dispersion DSP algorithms in study of pulsar data BR Nayana, SM Kumar Digital Signal Processing 4 (10), 453-459, 2012 | | 2012 |
| A Framework for Improved Identification of Various Conditions of Induction Motor Bearing Faults BR Nayana Vellore, 0 | | |
