| An efficient machine learning based ventricular late potential detection and classification technique for cardiac healthcare S Daphin Lilda, R Jayaparvathy, A Balaji Concurrency and Computation: Practice and Experience 34 (26), e7279, 2022 | 4 | 2022 |
| Complexity Comparison of Empirical Mode Decomposition and Wavelet Decomposition Methods in the Detection of Ventricular Late Potential D Lilda S, J R 2022 IEEE Conference on Interdisciplinary Approaches in Technology and …, 2022 | 1 | 2022 |
| Soil moisture prediction based on integrating the CEEMDAN decomposition technique with LSTM in the proximity of Prosopis Juliflora R Jayaparvathy, SD Lilda, AS Angel, A Rajasekaran Journal of Hydrology 640, 131777, 2024 | | 2024 |
| 13 Machine Techniques Learning in ECG Data Analysis for Medical Applications SD Lilda, R Jayaparvathy Handbook of AI-Based Models in Healthcare and Medicine: Approaches, Theories …, 2024 | | 2024 |
| Study of the Impact of Prosopis juliflora on Soil Moisture and Humidity R Jayaparvathy, S Daphin Lilda, A Sheeba Angel, BN Priyanka Environment and Ecology 42 (1A), 220-228, 2024 | | 2024 |
| Machine Learning Techniques in ECG Data Analysis for Medical Applications SD Lilda, R Jayaparvathy Handbook of AI-Based Models in Healthcare and Medicine, 226-246, 2024 | | 2024 |
| SURVEY ON MEMRISTOR APPLICATIONS SD Lilda, A Swarnalatha, R Avudaiammal International Journal of Pure and Applied Mathematics 118 (11), 103-109, 2018 | | 2018 |
Jayaparvathy RProfessor, SSN College of Engineering在 ssn.edu.in 的电子邮件经过验证
Jayaparvathy RProfessor, SSN College of Engineering在 ssn.edu.in 的电子邮件经过验证