| Prediction of sea surface temperatures using deep learning neural networks PP Sarkar, P Janardhan, P Roy SN Applied Sciences 2 (8), 1458, 2020 | 50 | 2020 |
| Modeling response of runoff and evapotranspiration for predicting water table depth in arid region using dynamic recurrent neural network D Ghose, U Das, P Roy Groundwater for Sustainable Development 6, 263-269, 2018 | 42 | 2018 |
| Simultaneous streamflow forecasting based on hybridized neuro-fuzzy method for a river system J Tripura, P Roy, AK Barbhuiya Neural Computing and Applications 33, 3221-3233, 2021 | 16 | 2021 |
| Modeling water table depth using adaptive Neuro-Fuzzy Inference System UK Das, P Roy, DK Ghose ISH journal of hydraulic engineering 25 (3), 291-297, 2019 | 16 | 2019 |
| Forecasting concurrent flows in a river system using ANNs P Choudhury, P Roy Journal of Hydrologic Engineering 20 (8), 06014012, 2015 | 14 | 2015 |
| Estimation of aquifer potential using BPNN, RBFN, RNN, and ANFIS UK Das, S Samantaray, DK Ghose, P Roy Smart Intelligent Computing and Applications: Proceedings of the Second …, 2019 | 11 | 2019 |
| Flood forecasting and flood flow modeling in a river system using ANN S Agarwal, PJ Roy, P Choudhury, N Debbarma Water Practice & Technology 16 (4), 1194-1205, 2021 | 9 | 2021 |
| Dynamic ANN modeling for flood forecasting in a river network P Roy, PS Choudhury, M Saharia AIP Conference Proceedings 1298 (1), 219-225, 2010 | 9 | 2010 |
| River flow forecasting by comparative analysis of multiple input and multiple output models form using ANN S Agarwal, PJ Roy, PS Choudhury, N Debbarma H2Open Journal 4 (1), 413-428, 2021 | 8 | 2021 |
| Application of RBFNNs Incorporating MIMO Processes for Simultaneous River Flow Forecasting. J Tripura, P Roy, AK Barbhuiya Journal of Engineering & Technological Sciences 50 (3), 2018 | 8 | 2018 |
| Flow forecasting in multiple sections of a river system J Tripura, P Roy KSCE Journal of Civil Engineering 21, 512-522, 2017 | 8 | 2017 |
| Comparative study on stream flow prediction using the GMNN and wavelet-based GMNN S Agarwal, P Roy, P Choudhury, N Debbarma Journal of Water and Climate Change 13 (9), 3323-3337, 2022 | 7 | 2022 |
| Prediction of sea surface temperatures using deep learning neural networks. SN Appl Sci 2: 1458 PP Sarkar, P Janardhan, P Roy | 6 | 2020 |
| Identification of homogeneous rainfall regions using a genetic algorithm involving multi-criteria decision making techniques N Debbarma, P Choudhury, P Roy Water Supply 19 (5), 1491-1499, 2019 | 6 | 2019 |
| Energy dissipation in hydraulic jumps using triple screen layers UK Singh, P Roy Applied Water Science 13 (1), 17, 2023 | 5 | 2023 |
| A novel deep neural network model approach to predict Indian Ocean dipole and Equatorial Indian Ocean oscillation indices PP Sarkar, P Janardhan, P Roy Dynamics of Atmospheres and Oceans 96, 101266, 2021 | 4 | 2021 |
| Uncertainty analysis of regional rainfall frequency estimates in Northeast India N Debbarma, P Choudhury, P Roy, S Agarwal Civil Engineering Journal 7 (11), 1817-1835, 2021 | 4 | 2021 |
| Analysis of precipitation variability using memory based artificial neural networks S Debbarma, P Choudhury, P Roy, R Kumar International Journal of Applied Metaheuristic Computing (IJAMC) 10 (1), 29-42, 2019 | 4 | 2019 |
| Applicability of a long short-term memory deep learning network in sea surface temperature predictions P Sarkar, P Janardhan, P Roy Earth 1st International Conference on Water Security and Sustainability …, 2019 | 3 | 2019 |
| Investigation of some organophosphorus compounds having pesticidal activity-1. Synthesis, insecticidal activity, toxicity and hydrolysis of O-(2-methoxy) ethyl O, O … BK Das, A Sarkar, P Roy, D Sadhu, P Choudhury | 2 | 1978 |
