Vishal Deshpande

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Dr. Bimlesh KumarProfessor, Civil Engineering, IITG GuwahatiPotvrđena adresa e-pošte na iitg.ernet.in
Mayank AgarwalAssistant Professor, IIT PatnaPotvrđena adresa e-pošte na iitp.ac.in
Sanjit KumarAssistant Professor, SRM University ChennaiPotvrđena adresa e-pošte na srmist.edu.in
Deepti ShakyaResearch Scholar, Indian Institute of TechnologyPotvrđena adresa e-pošte na iitp.ac.in
Dr Mahesh PatelAssistant Professor in Dept. of Civil Engg. NIT JalandharPotvrđena adresa e-pošte na nitj.ac.in
Manish Kumar Goyal, Chair ProfessorIndian Institute of Technology Indore, IndorePotvrđena adresa e-pošte na iiti.ac.in
Pradyumna BeheraResearch ScholarPotvrđena adresa e-pošte na iitp.ac.in
Upaka Rathnayake (Top 2% researcher)Professor, Atlantic Technological University, Sligo IrelandPotvrđena adresa e-pošte na atu.ie
Abhijit D LadeAssistant Professor at VNIT NagpurPotvrđena adresa e-pošte na iitg.ac.in
Preetam Kumar ShuklaResearch Scholar, IIT PatnaPotvrđena adresa e-pošte na iitp.ac.in
Trishikhi RaychoudhuryIIT JodhpurPotvrđena adresa e-pošte na iitj.ac.in
Giuseppe OlivetoProfessor of Hydraulic Engineering, School of Engineering - University of Basilicata (Italy)Potvrđena adresa e-pošte na unibas.it
Gopu SreenivasuluProfessor and HOD of Civil Engineering, RGM College of Engineering (Autonomous), NANDYALPotvrđena adresa e-pošte na rgmcet.edu.in
Eran HalfiHydrologist, Dead Sea and Arava Science CenterPotvrđena adresa e-pošte na adssc.org
Mir Jafar Sadegh SafariResearch Associate, Toronto Metropolitan UniversityPotvrđena adresa e-pošte na torontomu.ca
Abhishek PandeyPh.D (Water Resource Engineering)Research scholar at Indian Institute of Technology PatnaPotvrđena adresa e-pošte na iitp.ac.in
Yukinobu Hoshino / 星野孝総Kochi University of Technology / 高知工科大学Potvrđena adresa e-pošte na kochi-tech.ac.jp
James R CooperSchool of Environmental Sciences, University of LiverpoolPotvrđena adresa e-pošte na liverpool.ac.uk
khabat khosraviAssistant Professor, Razi UniversityPotvrđena adresa e-pošte na razi.ac.ir
Dr.Komali KantamaneniCo- Director -UN (United Nations)--SPIDER -UK Regional Support Office; Senior Research Fellow -UCLanPotvrđena adresa e-pošte na uclan.ac.uk

Prati

Vishal Deshpande

Assistant Professor, Department of Civil and Environmental Engineering, IIT Patna

Potvrđena adresa e-pošte na iitp.ac.in - Početna stranica

Turbulence in open channel flows Sediment transport Hydrology Applications of AI ML and DL in


Naslov Poredaj po navodima Poredaj po godini Poredaj po naslovu	Citirano Citirano	Godina
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	71	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	41	2015
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	31	2023
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	27	2014
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	25	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	20	2023
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	18	2022
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	17	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	15	2020
Advent of sheet flow in suction affected alluvial channels V Deshpande, B Kumar Environmental Fluid Mechanics 16, 25-44, 2016	15	2016
Review and assessment of the theories of stable alluvial channel design. V Deshpande, B Kumar Water Resources 39 (4), 2012	15	2012
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	13	2017
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	12	2023
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	11	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	9	2024
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	9	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	7	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	7	2018
Performance evaluation of machine learning algorithms for the prediction of particle Froude number (Frn) using hyper-parameter optimizations techniques D Shakya, V Deshpande, MJS Safari, M Agarwal Expert Systems with Applications 256, 124960, 2024	5	2024
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	5	2021

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