| Deep learning approaches for cyberbullying detection and classification on social media S Chandrasekaran, AK Singh Pundir, TB Lingaiah Computational Intelligence and Neuroscience 2022, 2022 | 45 | 2022 |
| Capsule network-based deep transfer learning model for face recognition K Sreekala, CPD Cyril, S Neelakandan, S Chandrasekaran, R Walia, ... Wireless Communications and Mobile Computing 2022, 1-12, 2022 | 26 | 2022 |
| Early detection of spondylosis using point-based image processing techniques HK Shashikala, TR Mahesh, V Vivek, MG Sindhu, C Saravanan, TZ Baig 2021 International Conference on Recent Trends on Electronics, Information …, 2021 | 21 | 2021 |
| A novel technique for user decision prediction and assistance using machine learning and NLP: A model to transform the E-commerce system V Vivek, TR Mahesh, C Saravanan, KV Kumar Big data management in Sensing, 61-76, 2022 | 16 | 2022 |
| Multi-modal cyber security based object detection by classification using deep learning and background suppression techniques K Srinivas, L Singh, SR Chavva, B Dappuri, S Chandrasekaran, S Qamar Computers and Electrical Engineering 103, 108333, 2022 | 8 | 2022 |
| Analysis of skin cancer and patient healthcare using data mining techniques N Arivazhagan, MA Mukunthan, D Sundaranarayana, A Shankar, ... Computational Intelligence and Neuroscience 2022, 2022 | 8 | 2022 |
| Data Analytics: The Challenges and the Latest Trends to Flourish in the Post-COVID-19 TR Mahesh, V Vivek, C Saravanan, K Vinay Kumar Proceedings of the International Conference on Paradigms of Communication …, 2022 | 8 | 2022 |
| Assistive Device for Neurodegenerative Disease Patients Using IoT saravanan chandrasekaran, R Veeran Lecture Notes on Data Engineering and Communications Technologies 46, 447-452, 2020 | 8 | 2020 |
| Prediction of Task Execution Time in Cloud Computing C Saravanan, TR Mahesh, V Vivek, HK Shashikala, T Baig 2021 Fifth International Conference on I-SMAC (IoT in Social, Mobile …, 2021 | 7 | 2021 |
| Towards an effective QoS prediction of web services using context-aware dynamic bayesian network model S Chandrasekaran, VB Srinivasan, L Parthiban Tehnički vjesnik 25 (Supplement 2), 241-248, 2018 | 3 | 2018 |
| Data-driven intelligent condition adaptation of feature extraction for bearing fault detection using deep responsible active learning TR Mahesh, C Saravanan, VA Ram, VV Kumar, V Vivek, S Guluwadi IEEE Access, 2024 | 2 | 2024 |
| Improved energy efficiency using adaptive ant colony distributed intelligent based clustering in wireless sensor networks KA Sharada, TR Mahesh, S Chandrasekaran, R Shashikumar, VV Kumar, ... Scientific Reports 14 (1), 4391, 2024 | 2 | 2024 |
| Efficient Web Service Discovery and Selection Model S Chandrasekaran, VB Srinivasan, L Parthiban International Journal on Future Revolution in Computer Science …, 2018 | 2 | 2018 |
| Fuzzy based QoS prediction using bayesian network in cloud computing environment S Chandrasekaran, VB Srinivasan, L Parthiban Int. J. Eng. Technol 7 (1.5), 170-175, 2018 | 1 | 2018 |
| Uncertainty-Aware Functional Analysis for Electricity Consumption Prediction Using Multi-Task Optimization Learning Model S Chandrasekaran, M Masthan, TR Mahesh, S Athinarayanan, A Ram, ... 2023 International Conference on Computer Science and Emerging Technologies …, 2023 | | 2023 |
| Analysis and Design for the Early Stage Detection of Lung Diseases Using Machine Learning Algorithms S Madhuri, TR Mahesh, V Vivek, HK Shashikala, C Saravanan Data Engineering and Data Science: Concepts and Applications, 351-371, 2023 | | 2023 |
| Automatic Facial and Number Plate Recognition S Chandrasekaran, V Reddy Solid State Technology 64 (2), 6828-6836, 2021 | | 2021 |
| Bayesian Network with CSA to optimize the selection of QoS-aware Web service S Chandrasekaran, VB Srinivasan, L Parthiban | | |
Latha ParthibanPONDICHERRY UNIVERSITY CCVerified email at pondiuni.edu.in
