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Sanjit Kumar
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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
172023
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
72022
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
62023
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
52022
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
32023
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 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
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
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