Ashu Jain

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Coauteurs

KP SUDHEERIndian Institute of Technology MadrasAdresse e-mail validée de iitm.ac.in
Lindell OrmsbeeUniversity of KentuckyAdresse e-mail validée de uky.edu
Holger R MaierProfessor, School of Civil, Environmental and Mining Engineering, The University of AdelaideAdresse e-mail validée de adelaide.edu.au
Graeme DandyEmeritus Professor of Civil and Environmental Engineering, University of AdelaideAdresse e-mail validée de adelaide.edu.au
Dr. Vikas Kumar VidyarthiAssistant Professor, Department of Civil Engineering, NIT RaipurAdresse e-mail validée de nitrr.ac.in
Rajib Kumar BhattacharjyaProfessor, Department of Civil Engineering, IIT GuwahatiAdresse e-mail validée de iitg.ac.in
Sanjeev JhaAssistant Professor, Indian Institute of Science Education and Research Bhopal, Madhya PradeshAdresse e-mail validée de iiserb.ac.in
Raj Mohan SinghAssociate Professor, Civil Engineering, MNNIT AllahabadAdresse e-mail validée de mnnit.ac.in
Christian DawsonComputer Science, Loughborough UniversityAdresse e-mail validée de lboro.ac.uk
Tirthankar RoyProfessor of Economic History, London School of EconomicsAdresse e-mail validée de lse.ac.uk
Dr. Sumant KumarScientist, National Institute of Hydrology, RoorkeeAdresse e-mail validée de gov.in
Linda SeeInternational Institute for Applied Systems AnalysisAdresse e-mail validée de iiasa.ac.at
Jitendra KumarResearch Staff Member, Oak Ridge National LaboratoryAdresse e-mail validée de climatemodeling.org
Niels SchützeChair of Hydrology, Institute of Hydrology and Meteorology, TU DresdenAdresse e-mail validée de rcs.urz.tu-dresden.de
Partha ChakrobortyProfessor of Civil Engineering, IIT Kanpur, INDIAAdresse e-mail validée de iitk.ac.in
Kalyanmoy DebUniversity Distinguished Professor, Electrical and Computer Engineering, Michigan State UniversityAdresse e-mail validée de egr.msu.edu
Arjun B MScientist - 'SE', NRSC, ISROAdresse e-mail validée de nrsc.gov.in
Manfred OstrowskiTU DarmstadtAdresse e-mail validée de ihwb.tu-darmstadt.de

Suivre

Ashu Jain

Former-Professor, Department of Civil Engineering, IIT Kanpur

Adresse e-mail validée de iitk.ac.in

Hydrology Modeling & Management of Water Systems using AI Techniques


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
Methods used for the development of neural networks for the prediction of water resource variables in river systems: Current status and future directions HR Maier, A Jain, GC Dandy, KP Sudheer Environmental modelling & software 25 (8), 891-909, 2010	1026	2010
Hybrid neural network models for hydrologic time series forecasting A Jain, AM Kumar Applied Soft Computing 7 (2), 585-592, 2007	608	2007
Short-term water demand forecast modelling at IIT Kanpur using artificial neural networks A Jain, A Kumar Varshney, U Chandra Joshi Water resources management 15, 299-321, 2001	424	2001
A comparative analysis of training methods for artificial neural network rainfall–runoff models S Srinivasulu, A Jain Applied Soft Computing 6 (3), 295-306, 2006	387	2006
Development of effective and efficient rainfall‐runoff models using integration of deterministic, real‐coded genetic algorithms and artificial neural network techniques A Jain, S Srinivasulu Water Resources Research 40 (4), 2004	287	2004
Identification of physical processes inherent in artificial neural network rainfall runoff models A Jain, KP Sudheer, S Srinivasulu Hydrological processes 18 (3), 571-581, 2004	235	2004
Short‐term water demand forecast modeling techniques—CONVENTIONAL METHODS VERSUS AI A Jain, LE Ormsbee Journal‐American Water Works Association 94 (7), 64-72, 2002	214	2002
Comparative analysis of event-based rainfall-runoff modeling techniques—deterministic, statistical, and artificial neural networks A Jain, SKVP Indurthy Journal of Hydrologic Engineering 8 (2), 93-98, 2003	203	2003
Identification of unknown groundwater pollution sources using artificial neural networks RM Singh, B Datta, A Jain Journal of water resources planning and management 130 (6), 506-514, 2004	189	2004
Integrated approach to model decomposed flow hydrograph using artificial neural network and conceptual techniques A Jain, S Srinivasulu Journal of Hydrology 317 (3-4), 291-306, 2006	183	2006
Explaining the internal behaviour of artificial neural network river flow models KP Sudheer, A Jain Hydrological Processes 18 (4), 833-844, 2004	160	2004
An evaluation of artificial neural network technique for the determination of infiltration model parameters A Jain, A Kumar Applied soft computing 6 (3), 272-282, 2006	97	2006
Optimal design of composite channels using genetic algorithm A Jain, RK Bhattacharjya, S Sanaga Journal of Irrigation and Drainage Engineering 130 (4), 286-295, 2004	92	2004
Temporal scaling in river flow: can it be chaotic? SK Regonda, B Sivakumar, AJ Ashu Jain	68	2004
Modeling and analysis of concrete slump using artificial neural networks A Jain, SK Jha, S Misra Journal of materials in civil engineering 20 (9), 628-633, 2008	60	2008
River flow prediction using an integrated approach S Srinivasulu, A Jain Journal of Hydrologic Engineering 14 (1), 75-83, 2009	54	2009
Modeling rainfall-runoff process using artificial neural network with emphasis on parameter sensitivity VK Vidyarthi, A Jain, S Chourasiya Modeling Earth Systems and Environment 6 (4), 2177-2188, 2020	51	2020
Dissection of trained neural network hydrologic models for knowledge extraction A Jain, S Kumar Water resources research 45 (7), 2009	45	2009
Knowledge extraction from trained ANN drought classification model VK Vidyarthi, A Jain Journal of Hydrology 585, 124804, 2020	43	2020
Determination of an optimal unit pulse response function using real-coded genetic algorithm A Jain, S Srinivasalu, RK Bhattacharjya Journal of Hydrology 303 (1-4), 199-214, 2005	33	2005

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