Sledovat
Sanaga Srinivasulu
Sanaga Srinivasulu
Professor of civil engg
E-mailová adresa ověřena na: jntuh.ac.in
Název
Citace
Citace
Rok
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
3762006
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
2832004
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
2252004
Experimental investigation of the predictive capabilities of data driven modeling techniques in hydrology-Part 1: Concepts and methodology
A Elshorbagy, G Corzo, S Srinivasulu, DP Solomatine
Hydrology and Earth System Sciences 14 (10), 1931-1941, 2010
2122010
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
1792006
Experimental investigation of the predictive capabilities of data driven modeling techniques in hydrology-Part 2: Application
A Elshorbagy, G Corzo, S Srinivasulu, DP Solomatine
Hydrology and Earth System Sciences 14 (10), 1943-1961, 2010
1652010
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
912004
River flow prediction using an integrated approach
S Srinivasulu, A Jain
Journal of Hydrologic Engineering 14 (1), 75-83, 2009
532009
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
332005
Rainfall-runoff modelling: Integrating available data and modern techniques
S Srinivasulu, A Jain
Practical Hydroinformatics: Computational Intelligence and Technological …, 2008
172008
Treatment of pesticide intermediate industrial wastewater using hybrid methodologies
S Akinapally, B Dheeravath, KK Panga, H Vurimindi, S Sanaga
Applied Water Science 11, 1-7, 2021
82021
Experimental investigation of the predictive capabilities of soft computing techniques in hydrology
A Elshorbagy, G Corzo, S Srinivasulu, D Solomatine
Technical Rep 49, 2009
82009
Hydrologic model calibration using evolutionary optimisation
A Jain, S Srinivasulu
Practical Hydroinformatics: Computational Intelligence and Technological …, 2008
72008
Experimental investigation of the predictive capabilities of data driven modeling techniques in hydrology-Part 1: Concepts and methodology.
A Elshorbagy, G Corzo, S Srinivasulu, DP Solomatine
Hydrology & Earth System Sciences Discussions 6 (6), 2009
52009
Data-driven techniques scrutinized: is there one better than the rest?
A Elshorbagy, G Corzo, D Solomatine, S Srinivasulu
EGU General Assembly Conference Abstracts, 4282, 2009
22009
Treatment of pesticide intermediate industrial wastewater using different advanced treatment processes
S Akinapally, B Dheeravath, KK Panga, VK Saranga, S Golla, H Vurimindi, ...
Sustainable Water Resources Management 7 (5), 74, 2021
12021
Identification of Urban Sprawl–A Case Study of Vijayawada City, Andhra Pradesh, India
PK Rao, Y Mishima, S Srinivasulu, NB Rao
Lowland Technology International 18 (1), 59-64, 2016
12016
ANN based prediction and sensitivity analyses of maximum dry unit weight and optimum moisture content values over a large range
S Sinivasulu, V Padmavathi, H Araki, S Borzooei, MR Madhav
8th International Symposium on Lowland Technology, 346-352, 2012
12012
Discussion of “Performance of Neural Networks in Daily Streamflow Forecasting” by S. Birikundavyi, R. Labib, HT Trung, and J. Rousselle
VK Minocha
Journal of Hydrologic Engineering 9 (6), 555-556, 2004
12004
Role of climate variables and spectral indices in characterizing ecosystem water use efficiency of flood irrigated citrus orchards
SR Peddinti, S Sanaga, SR Rodda
AGU Fall Meeting Abstracts 2017, B31D-2001, 2017
2017
Systém momentálně nemůže danou operaci provést. Zkuste to znovu později.
Články 1–20