| Classifying machine learning features extracted from vibration signal with logistic model tree to monitor automobile tyre pressure PS Anoop, V Sugumaran Structural Durability & Health Monitoring 11 (2), 191, 2017 | 16 | 2017 |
| Implementing K-star algorithm to monitor tyre pressure using extracted statistical features from vertical wheel hub vibrations PS Anoop, V Sugumaran, HM Praveen Indian Journal of Science and Technology, 2016 | 16 | 2016 |
| Effect of wheel balancing on tyre condition monitoring system using vibration signals through statistical features and machine learning techniques PS Anoop, V Sugumaran Journal of Intelligent & Fuzzy Systems 43 (1), 561-573, 2022 | 7 | 2022 |
| 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 | 5 | 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 | 5 | 2023 |
| Influence of Unbalance on Classification Accuracy of Tyre Pressure Monitoring System Using Vibration Signals VS P. S. Anoop, Pranav Nair Structural Durability & Health Monitoring 15 (3), 261-279, 2021 | 5 | 2021 |
| Comparative study on different balancing conditions of an air filled tyre using statistical features and classification via regression algorithm PS Anoop, V Sugumaran IOP Conference Series: Materials Science and Engineering 1012 (1), 012031, 2021 | 5 | 2021 |
| The influence of tyre balancing in nitrogen filled tyres using statistical features and random forest algorithm VS P. S. ANOOP International Journal of Mechanical and Production Engineering Research and …, 2020 | 5 | 2020 |
| Tyre pressure monitoring system using statistical analysis and rotation forest algorithm VS Anoop P.S PAKISTAN JOURNAL OF BIOTECHNOLOGY 15 ((Special Issue ICRAME 17)), 36-39, 2018 | 4 | 2018 |
| Analyzing vertical vibrations of automobile wheel hub to monitor tyre pressure using statistical features and support vector machine algorithm HMP Anoop P S , V Sugumaran PAKISTAN JOURNAL OF BIOTECHNOLOGY 15 (Special Issue ICRAME 17), 10-13, 2018 | 3 | 2018 |
| Tyre Pressure Monitoring System Using Machine Learning Approaches – A Review HMP Anoop.P.S, V Sugumaran International Journal of Control Theory and Applications 9 (Number 51), 371-382, 2017 | 2* | 2017 |
| Monitoring the condition of nitrogen-filled tires using weightless neural networks A Rattan, N Venkatesh S, V Sugumaran, PS Anoop Automatika 65 (2), 523-537, 2024 | 1 | 2024 |
| Photovoltaic Module Fault Detection Based on Deep Learning Using Cloud Computing S Naveen Venkatesh, P Arun Balaji, G Chakrapani, K Annamalai, ... Scientific Programming 2023, 2023 | 1 | 2023 |
| Enhancing Tire Condition Monitoring through Weightless Neural Networks Using MEMS-Based Vibration Signals S Arora, S Naveen Venkatesh, V Sugumaran, ... Journal of Engineering 2024, 2024 | | 2024 |
| Application of feature fusion strategy for monitoring the condition of nitrogen filled tires using tree family of classifiers H Parihar, SN Venkatesh, PS Anoop, V Sugumaran Physica Scripta 99 (3), 035210, 2024 | | 2024 |
Dr V. SugumaranVIT University - Chennai CampusVerified email at vit.ac.in
