| Nonlinear neural network based forecasting model for predicting COVID-19 cases S Namasudra, S Dhamodharavadhani, R Rathipriya Neural processing letters, 1-21, 2023 | 106 | 2023 |
| COVID-19 mortality rate prediction for India using statistical neural network models S Dhamodharavadhani, R Rathipriya, JM Chatterjee Frontiers in Public Health 8, 575814, 2020 | 99 | 2020 |
| Region-wise rainfall prediction using mapreduce-based exponential smoothing techniques S Dhamodharavadhani, R Rathipriya Advances in Big Data and Cloud Computing: Proceedings of ICBDCC18, 229-239, 2019 | 36 | 2019 |
| Binary particle swarm optimization based biclustering of web usage data R Rathipriya, K Thangavel, J Bagyamani arXiv preprint arXiv:1108.0748, 2011 | 33 | 2011 |
| Novel hybrid PSO-SA model for biclustering of expression data K Thangavel, J Bagyamani, R Rathipriya Procedia Engineering 30, 1048-1055, 2012 | 31 | 2012 |
| Demand forecasting model for time-series pharmaceutical data using shallow and deep neural network model R Rathipriya, AA Abdul Rahman, S Dhamodharavadhani, A Meero, ... Neural Computing and Applications 35 (2), 1945-1957, 2023 | 27 | 2023 |
| COVID-19 mortality rate prediction for India using statistical neural networks and gaussian process regression model S Dhamodharavadhani, R Rathipriya African Health Sciences 21 (1), 194-206, 2021 | 20 | 2021 |
| Unlock different V’s of big data for analytics S Dhamodharavadhani, R Gowri, R Rathipriya International Journal of Computer Sciences and Engineering 6 (4), 183-190, 2018 | 20 | 2018 |
| Enhanced logistic regression (ELR) model for big data S Dhamodharavadhani, R Rathipriya Handbook of research on big data clustering and machine learning, 152-176, 2020 | 19 | 2020 |
| Predictive analysis for weather prediction using data mining with ANN: a study R Samya, R Rathipriya International Journal of Computational Intelligence and Informatics 6 (2 …, 2016 | 19 | 2016 |
| Recommendation of web pages using weighted K-means clustering R Thiyagarajan, K Thangavel, R Rathipriya International Journal of Computer Applications 86 (14), 2014 | 19 | 2014 |
| Evolutionary biclustering of clickstream data R Rathipriya, DK Thangavel, J Bagyamani arXiv preprint arXiv:1106.2312, 2011 | 17 | 2011 |
| Variable selection method for regression models using computational intelligence techniques S Dhamodharavadhani, R Rathipriya Research Anthology on Multi-Industry Uses of Genetic Programming and …, 2021 | 16 | 2021 |
| Hybrid key generation for RSA and ECC E Vidhya, S Sivabalan, R Rathipriya 2019 International Conference on Communication and Electronics Systems …, 2019 | 15 | 2019 |
| Forecasting dengue incidence rate in Tamil Nadu using ARIMA time series model S Dhamodharavadhani, R Rathipriya Machine learning for healthcare, 187-202, 2020 | 12 | 2020 |
| A comparative study of activation functions and training algorithm of NAR neural network for crop prediction V Kaleeswaran, S Dhamodharavadhani, R Rathipriya 2020 4th International Conference on Electronics, Communication and …, 2020 | 12 | 2020 |
| A fuzzy co-clustering approach for clickstream data pattern R Rathipriya, K Thangavel arXiv preprint arXiv:1109.6726, 2011 | 12 | 2011 |
| Novel COVID-19 mortality rate prediction (MRP) model for India using regression model with optimized hyperparameter S Dhamodharavadhani, R Rathipriya Journal of Cases on Information Technology (JCIT) 23 (4), 1-12, 2021 | 11 | 2021 |
| Biclustering using venus flytrap optimization algorithm R Gowri, S Sivabalan, R Rathipriya Computational Intelligence in Data Mining—Volume 1: Proceedings of the …, 2016 | 11 | 2016 |
| A pilot study on climate data analysis tools and software S Dhamodharavadhani, R Rathipriya 2016 Online international conference on green engineering and technologies …, 2016 | 10 | 2016 |
Dr. Dhamodharavadhani.SPeriyar UniversityVerified email at periyaruniversity.ac.in
