Neural network modeling for groundwater-level forecasting in coastal aquifers T Roshni, MK Jha, J Drisya Neural Computing and Applications 32 (16), 12737-12754, 2020 | 64 | 2020 |
A comparison of emotional neural network (ENN) and artificial neural network (ANN) approach for rainfall-runoff modelling S Kumar, T Roshni, D Himayoun Civil Engineering Journal 5 (10), 2120-2130, 2019 | 54 | 2019 |
Development and evaluation of hybrid artificial neural network architectures for modeling spatio-temporal groundwater fluctuations in a complex aquifer system T Roshni, MK Jha, RC Deo, A Vandana Water Resources Management 33, 2381-2397, 2019 | 46 | 2019 |
Spatiotemporal variability of soil moisture and drought estimation using a distributed hydrological model J Drisya, T Roshni Integrating disaster science and management, 451-460, 2018 | 39 | 2018 |
Predicting groundwater depth fluctuations using deep learning, extreme learning machine and Gaussian process: a comparative study D Kumar, T Roshni, A Singh, MK Jha, P Samui Earth Science Informatics 13 (4), 1237-1250, 2020 | 38 | 2020 |
Spatio-temporal variation of drought characteristics, water resource availability and the relation of drought with large scale climate indices: a case study of Jhelum basin, India D Himayoun, T Roshni Quaternary International 525, 140-150, 2019 | 35 | 2019 |
Comparison of meteorological drought using SPI and SPEI SS Ojha, V Singh, T Roshni Civ. Eng. J 7, 2130-2149, 2021 | 29 | 2021 |
Self-aeration and friction over rock chutes in uniform flow conditions S Pagliara, I Carnacina, T Roshni Journal of Hydraulic Engineering 136 (11), 959-964, 2010 | 27 | 2010 |
Climate change projections of rainfall and its impact on the cropland suitability for rice and wheat crops in the Sone river command, Bihar S Kumar, T Roshni, E Kahya, MA Ghorbani Theoretical and Applied Climatology 142, 433-451, 2020 | 23 | 2020 |
Monthly surface runoff prediction using artificial intelligence: a study from a tropical climate river basin BSN Reddy, SK Pramada, T Roshni Journal of Earth System Science 130, 1-15, 2021 | 22 | 2021 |
Buckling of laminated composite skew plate using FEM and machine learning methods BB Mishra, A Kumar, P Samui, T Roshni Engineering Computations 38 (1), 501-528, 2021 | 22 | 2021 |
Hydrological drought assessment through streamflow forecasting using wavelet enabled artificial neural networks J Drisya, DS Kumar, T Roshni Environment, Development and Sustainability 23 (3), 3653-3672, 2021 | 21 | 2021 |
Rooster tail wave hydraulics of chutes S Pagliara, SM Kurdistani, T Roshni Journal of Hydraulic Engineering 137 (9), 1085-1088, 2011 | 21 | 2011 |
Air‐water flows in the presence of staggered and row boulders under macroroughness conditions S Pagliara, I Carnacina, T Roshni Water Resources Research 46 (8), 2010 | 20 | 2010 |
Inception point and air entrainment on flows under macroroughness condition S Pagliara, I Carnacina, T Roshni Journal of Environmental Engineering 137 (7), 629-638, 2011 | 19 | 2011 |
Efficacy of hybrid neural networks in statistical downscaling of precipitation of the Bagmati River basin K Kumar, V Singh, T Roshni Journal of Water and Climate Change 11 (4), 1302-1322, 2020 | 17 | 2020 |
Insight into the precipitation behavior of gridded precipitation data in the Sina basin C Sireesha, T Roshni, MK Jha Environmental Monitoring and Assessment 192, 1-23, 2020 | 16 | 2020 |
Hybrid support vector regression models with algorithm of innovative gunner for the simulation of groundwater level T Roshni, E Mirzania, M Hasanpour Kashani, QAT Bui, S Shamshirband Acta Geophysica 70 (4), 1885-1898, 2022 | 15 | 2022 |
Entropy analysis and pattern recognition in rainfall data, north Algeria MA Ghorbani, E Kahya, T Roshni, MH Kashani, A Malik, S Heddam Theoretical and Applied Climatology 144, 317-326, 2021 | 15 | 2021 |
Geomorphic changes in the Jhelum River due to an extreme flood event: a case study D Himayoun, T Roshni Arabian Journal of Geosciences 13 (1), 23, 2020 | 13 | 2020 |