Turbulent flow structures in alluvial channels with curved cross‐sections under conditions of downward seepage V Deshpande, B Kumar Earth Surface Processes and Landforms 41 (8), 1073-1087, 2016 | 68 | 2016 |
Turbulent characteristics and evolution of sheet flow in an alluvial channel with downward seepage M Patel, V Deshpande, B Kumar Geomorphology 248, 161-171, 2015 | 38 | 2015 |
Regression model for sediment transport problems using multi-gene symbolic genetic programming B Kumar, A Jha, V Deshpande, G Sreenivasulu Computers and Electronics in Agriculture 103, 82-90, 2014 | 23 | 2014 |
Estimation of time dependent scour depth around circular bridge piers: Application of ensemble machine learning methods S Kumar, MK Goyal, V Deshpande, M Agarwal Ocean Engineering 270, 113611, 2023 | 21 | 2023 |
Estimating Particle Froude Number of Sewer Pipes by Boosting Machine-Learning Models D Shakya, M Agarwal, V Deshpande, B Kumar Journal of Pipeline Systems Engineering and Practice 13 (2), 04022012, 2022 | 15 | 2022 |
Standalone and ensemble-based machine learning techniques for particle Froude number prediction in a sewer system D Shakya, V Deshpande, M Agarwal, B Kumar Neural Computing and Applications 34 (18), 15481-15497, 2022 | 14 | 2022 |
Study of flow turbulence around a circular bridge pier in sand-mined stream channel AD Lade, V Deshpande, B Kumar Proceedings of the Institution of Civil Engineers-Water Management 173 (5 …, 2020 | 14 | 2020 |
Review and assessment of the theories of stable alluvial channel design. V Deshpande, B Kumar Water Resources 39 (4), 2012 | 14 | 2012 |
Advent of sheet flow in suction affected alluvial channels V Deshpande, B Kumar Environmental Fluid Mechanics 16, 25-44, 2016 | 13 | 2016 |
PM2. 5 air pollution prediction through deep learning using meteorological, vehicular, and emission data: A case study of New Delhi, India D Shakya, V Deshpande, MK Goyal, M Agarwal Journal of Cleaner Production 427, 139278, 2023 | 12 | 2023 |
Predicting total sediment load transport in rivers using regression techniques, extreme learning and deep learning models D Shakya, V Deshpande, B Kumar, M Agarwal Artificial Intelligence Review 56 (9), 10067-10098, 2023 | 12 | 2023 |
Application of novel hybrid machine learning techniques for particle Froude number estimation in sewer pipes S Kumar, B Kirar, M Agarwal, V Deshpande Natural Hazards 116 (2), 1823-1842, 2023 | 11 | 2023 |
Effect of downward seepage on the shape of an alluvial channel V Deshpande, B Kumar Proceedings of the Institution of Civil Engineers-Water Management 170 (1), 3-14, 2017 | 11 | 2017 |
Predicting flow velocity in a vegetative alluvial channel using standalone and hybrid machine learning techniques S Kumar, B Kumar, V Deshpande, M Agarwal Expert Systems with Applications 232, 120885, 2023 | 10 | 2023 |
On the Morphodynamic Alterations around Bridge Piers under the Influence of Instream Mining AD Lade, V Deshpande, B Kumar, G Oliveto Water 11 (8), 1676, 2019 | 7 | 2019 |
Radial Basis Function Regression (RBFR), ARRBFR models for Estimation of Particle Froude Number in Sewer Pipes Under Deposited Conditions S Kumar, M Agarwal, V Deshpande 2023 6th International Conference on Information Systems and Computer …, 2023 | 6 | 2023 |
Characterization of bedload discharge in bores and very unsteady flows in an ephemeral channel E Halfi, V Deshpande, JPL Johnson, D Katoshevski, I Reid, Y Storz-Peretz, ... E3S Web of Conferences 40, 02036, 2018 | 6 | 2018 |
Estimation of Particle Froude Number in Deposited Bed Condition Using Hybrid Machine Learning Models S Kumar, M Agarwal, V Deshpande International Conference on Advances in Data-driven Computing and …, 2023 | 3 | 2023 |
A novel Python module for statistical analysis of turbulence (P-SAT) in geophysical flows M Agarwal, V Deshpande, D Katoshevski, B Kumar Scientific Reports 11 (1), 1-20, 2021 | 3 | 2021 |
Effect of seepage on the friction factor in an alluvial channel P Mahesh, V Deshpande, B Kumar Sustainable Hydraulics in the Era of Global Change-Proceedings of the 4th …, 2016 | 3 | 2016 |