| 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 | 382 | 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 | 285 | 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 |
| 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 | 216 | 2010 |
| 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 | 182 | 2006 |
| 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 | 169 | 2010 |
| 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 | 91 | 2004 |
| River flow prediction using an integrated approach S Srinivasulu, A Jain Journal of Hydrologic Engineering 14 (1), 75-83, 2009 | 53 | 2009 |
| 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 |
| Rainfall-runoff modelling: Integrating available data and modern techniques S Srinivasulu, A Jain Practical Hydroinformatics: Computational Intelligence and Technological …, 2008 | 18 | 2008 |
| 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 | 12 | 2021 |
| Experimental investigation of the predictive capabilities of soft computing techniques in hydrology A Elshorbagy, G Corzo, S Srinivasulu, D Solomatine Technical Rep 49, 2009 | 9 | 2009 |
| Hydrologic model calibration using evolutionary optimisation A Jain, S Srinivasulu Practical Hydroinformatics: Computational Intelligence and Technological …, 2008 | 7 | 2008 |
| 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 | 5 | 2009 |
| 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 | 2 | 2009 |
| 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 | 1 | 2021 |
| 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 | 1 | 2016 |
| 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 | 1 | 2012 |
| 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 | 1 | 2004 |
| 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 |