| Machine vision based fault diagnosis of photovoltaic modules using lazy learning approach SN Venkatesh, V Sugumaran Measurement 191, 110786, 2022 | 47 | 2022 |
| Fault diagnosis of visual faults in photovoltaic modules: A Review S Naveen Venkatesh, V Sugumaran International Journal of Green Energy 18 (1), 37-50, 2020 | 44* | 2020 |
| Convolutional neural network based automatic detection of visible faults in a photovoltaic module NV Sridharan, V Sugumaran Energy Sources, Part A: Recovery, Utilization, and Environmental Effects, 1-16, 2021 | 40 | 2021 |
| Deep learning for enhanced fault diagnosis of monoblock centrifugal pumps: Spectrogram-based analysis P Chennai Viswanathan, SN Venkatesh, S Dhanasekaran, TK Mahanta, ... Machines 11 (9), 874, 2023 | 36 | 2023 |
| Visual fault detection in photovoltaic modules using decision tree algorithms with deep learning features NV Sridharan, V Sugumaran Energy Sources, Part A: Recovery, Utilization, and Environmental Effects, 1-17, 2021 | 31 | 2021 |
| Transfer learning based fault detection for suspension system using vibrational analysis and radar plots SA Sai, SN Venkatesh, S Dhanasekaran, PA Balaji, V Sugumaran, ... Machines 11 (8), 778, 2023 | 30 | 2023 |
| Fault Detection in aerial images of photovoltaic modules based on Deep learning SN Venkatesh, V Sugumaran IOP Conference Series: Materials Science and Engineering 1012 (1), 012030, 2021 | 30 | 2021 |
| Automatic detection of visual faults on photovoltaic modules using deep ensemble learning network SN Venkatesh, BR Jeyavadhanam, AMM Sizkouhi, SM Esmailifar, ... Energy Reports 8, 14382-14395, 2022 | 29 | 2022 |
| A combined approach of convolutional neural networks and machine learning for visual fault classification in photovoltaic modules SN Venkatesh, V Sugumaran Proceedings of the Institution of Mechanical Engineers, Part O: Journal of …, 2022 | 22 | 2022 |
| Transfer Learning‐Based Condition Monitoring of Single Point Cutting Tool S Naveen Venkatesh, P Arun Balaji, M Elangovan, K Annamalai, V Indira, ... Computational Intelligence and Neuroscience 2022 (1), 3205960, 2022 | 19 | 2022 |
| Efficacy of machine learning algorithms in estimating emissions in a dual fuel compression ignition engine operating on hydrogen and diesel N Venkatesh S, V Sugumaran, V Thangavel, A Balaji P, M Vijayaragavan, ... International Journal of Hydrogen Energy, 2023 | 16 | 2023 |
| Biogas production and its utilization in internal combustion engines-a review V Vasan, NV Sridharan, M Feroskhan, S Vaithiyanathan, B Subramanian, ... Process Safety and Environmental Protection, 2024 | 11 | 2024 |
| Misfire detection in spark ignition engine using transfer learning S Naveen Venkatesh, G Chakrapani, SB Senapti, K Annamalai, ... Computational Intelligence and Neuroscience 2022 (1), 7606896, 2022 | 11 | 2022 |
| Deep learning-based ensemble model for classification of photovoltaic module visual faults NV Sridharan, V Sugumaran Energy Sources, Part A: Recovery, Utilization, and Environmental Effects 44 …, 2022 | 10 | 2022 |
| Weightless neural network-based detection and diagnosis of visual faults in photovoltaic modules NV Sridharan, JV Joseph, S Vaithiyanathan, M Aghaei Energies 16 (15), 5824, 2023 | 9 | 2023 |
| Enhanced tyre pressure monitoring system for nitrogen filled tyres using deep learning AB Muturatnam, NV Sridharan, AP Sreelatha, S Vaithiyanathan Machines 11 (4), 434, 2023 | 9 | 2023 |
| Tire condition monitoring using transfer learning-based deep neural network approach V Vasan, NV Sridharan, A Prabhakaranpillai Sreelatha, S Vaithiyanathan Sensors 23 (4), 2177, 2023 | 8 | 2023 |
| Enhancing Photovoltaic Module Fault Diagnosis with Unmanned Aerial Vehicles and Deep Learning‐Based Image Analysis J Jerome Vasanth, S Naveen Venkatesh, V Sugumaran, VS Mahamuni International Journal of Photoenergy 2023 (1), 8665729, 2023 | 8 | 2023 |
| Photovoltaic module fault detection based on deep learning using cloud computing S Naveen Venkatesh, P Arun Balaji, G Chakrapani, K Annamalai, ... Scientific Programming 2023 (1), 8805817, 2023 | 4 | 2023 |
| Enhancing photovoltaic module fault diagnosis: Leveraging unmanned aerial vehicles and autoencoders in machine learning CV Prasshanth, SN Venkatesh, V Sugumaran, M Aghaei Sustainable Energy Technologies and Assessments 64, 103674, 2024 | 3 | 2024 |
Dr V. SugumaranVIT University - Chennai CampusVerified email at vit.ac.in
