Theo dõi
Sanjit Kumar
Sanjit Kumar
Assistant Professor, SRM University Chennai
Email được xác minh tại srmist.edu.in - Trang chủ
Tiêu đề
Trích dẫn bởi
Trích dẫn bởi
Năm
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
312023
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
122022
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
112023
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 22, 102320, 2024
92024
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
82022
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
72023
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
42023
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
32024
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
12024
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 26 (8), 1929-1943, 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
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