| 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 | 24 | 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 (3), 1823 - 1842, 2022 | 11 | 2022 |
| 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, 2023 | 10 | 2023 |
| Predicting the abrasion loss of open-graded friction course mixes with EAF steel slag aggregates using machine learning algorithms ML Pattanaik, S Kumar, R Choudhary, M Agarwal, B Kumar Construction and Building Materials 321, 126408, 2022 | 7 | 2022 |
| 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 International Conference on Information Systems and Computer Networks (ISCON …, 2023 | 6 | 2023 |
| 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 |
| Forecasting Particle Froude Number in Non-Deposition Scenarios within Sewer Pipes through Hybrid Machine Learning Approaches S Kumar, V Deshpande, M Agarwal, U Rathnayake Results in Engineering, 102320, 2024 | 2 | 2024 |
| Forecasting of time-dependent scour depth based on bagging and boosting machine learning approaches S Kumar, G Oliveto, V Deshpande, M Agarwal, U Rathnayake Journal of Hydroinformatics 26 (8), 1906-1928, 2024 | | 2024 |
| Efficient functioning of a sewer system: application of novel hybrid machine learning methods for the prediction of particle Froude number S Kumar, B Kirar, M Agarwal, V Deshpande, U Rathnayake Journal of Hydroinformatics, jh2024065, 2024 | | 2024 |
| AI-driven predictions of geophysical river flows with vegetation S Kumar, M Agarwal, V Deshpande, JR Cooper, K Khosravi, ... Scientific Reports 14 (1), 16368, 2024 | | 2024 |
| Predict Total Sediment Load Using Standalone and Ensemble Machine Learning Models S Kumar, M Agarwal, V Deshpande International Conference on Advances in Data-driven Computing and …, 2023 | | 2023 |
| Estimation of time-dependent pier scour depth using Ensemble and Boosting based Data Driven Approaches S Kumar, M Agarwal, V Deshpande, MK Goyal HYDRO 2021- International Conference (Hydraulics, Water Resources and …, 2021 | | 2021 |
Vishal DeshpandeAssistant Professor, Department of Civil and Environmental Engineering, IIT Patna在 iitp.ac.in 的电子邮件经过验证
