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S. Srinivasulu

Observed names: S. SRINIVASULU, S.Srinivasulu S.Srinivasulu, Sanaga Srinivasulu, Srinivasulu S.
ORCID: 0000-0001-8421-3932
Observed ORCID: 0000-0001-8421-3932
OpenAlex ID: A5019152600
A comparative analysis of training methods for artificial neural network rainfall–runoff models
2005 · Sanaga Srinivasulu, Ashu Jain · Applied Soft Computing · 306
Development of effective and efficient rainfall‐runoff models using integration of deterministic, real‐coded genetic algorithms and artificial neural network techniques
2004 · Ashu Jain, Sanaga Srinivasulu · Water Resources Research · 228
Experimental investigation of the predictive capabilities of data driven modeling techniques in hydrology - Part 1: Concepts and methodology
2010 · A. Elshorbagy, G. Corzo, et al. · Hydrology and earth system sciences · 199
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Identification of physical processes inherent in artificial neural network rainfall runoff models
2004 · Ashu Jain, K. P. Sudheer, et al. · Hydrological Processes · 193
Experimental investigation of the predictive capabilities of data driven modeling techniques in hydrology - Part 2: Application
2010 · A. Elshorbagy, G. Corzo, et al. · Hydrology and earth system sciences · 164
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Integrated approach to model decomposed flow hydrograph using artificial neural network and conceptual techniques
2005 · Ashu Jain, Sanaga Srinivasulu · Journal of Hydrology · 140
Hydrogeomorphological and groundwater prospects of the Pageru river basin by using remote sensing data
2001 · P. Sree Devi, Srinivasulu S., et al. · Environmental Geology · 98
Delineation of groundwater potential zones and electrical resistivity studies for groundwater exploration
2001 · Sree Devi, Srinivasulu S., et al. · Environmental Geology · 48
River Flow Prediction Using an Integrated Approach
2008 · Sanaga Srinivasulu, Ashu Jain · Journal of Hydrologic Engineering · 40
Comparison of IRS-IB LISS-IIA pixel array sizes for estimating suspended solids concentration in Hussain Sagar lake, Hyderabad, India—a statistical approach
1994 · M. ANJI REDDY, S. SRINIVASULU · International Journal of Remote Sensing · 8
Performance evaluation of different advanced processes for treating chloro-pesticide intermediate industrial wastewater
2019 · K. Srilatha, D. Bhagawan, et al. · Sustainable Water Resources Management · 7
Rainfall-Runoff Modelling: Integrating Available Data and Modern Techniques
2008 · S. Srinivasulu, A. Jain · Water science and technology library · 5
U-shaped Glass Rod as Key Construction Material in the Extrinsic Fiber Optic Sensor to Determine Various Parameters of Liquids at the Operating Wavelength of 660nm
2021 · S. Srinivasulu, S. Venkateswara Rao · Materials Today Proceedings · 3
Application of U-Shaped hybrid fiber optic sensor to determine the temperature dependent variation of refractive index of binary liquids
2021 · S. Srinivasulu, S. Venkateswara Rao · Materials Today Proceedings · 2
Identification of Urban Sprawl
2016 · P. Kesava Rao, Y. Mishima, et al. · Lowland Technology International · 2
Hydrologic Model Calibration Using Evolutionary Optimisation
2008 · A. Jain, S. Srinivasulu · Water science and technology library · 2
Materials and methods employed in the construction of a multipurpose intensity modulated fiber optic sensor
2021 · S. Venkateswara Rao, S. Srinivasulu · Materials Today Proceedings · 1
Spectroscopic Signal Enabled Refractive Index Sensor Operating at the Temperature Range of 10oC to 60oC Using a Source of 660nm Wavelength
2021 · S. Srinivasulu, Sandhya Rao · European Journal of Molecular & Clinical Medicine · 1
Comparative Analysis of Back-Propagation and Real-Coded GA for Training of ANN Rainfall-Runoff Models.
2003 · S. Srinivasulu, Ashu Jain · Indian International Conference on Artificial Intelligence · 1
Dynamic Range Specific Temperature Dependent Uniform UShaped Glass Rodbased Opticalfiber Refractometer Operating At 660nm
2021 · S. Srinivasulu, Sandhya Rao · NVEO - NATURAL VOLATILES & ESSENTIAL OILS Journal | NVEO
Direct contact evanescent wave absorption enabled fiber optic refractive index sensor operating in the dynamic range of 20 °C to 60 °C
2021 · S. Venkateswara Rao, S. Srinivasulu · Materials Today Proceedings
Non-conventional Method of Determination of Refractive Index using Fiber Optic U-shaped Glass Sensor in the Study of Certain Biological Fluids
2021 · Sandhya Rao, S. Srinivasulu · Annals of the Romanian Society for Cell Biology
Optical Absorption Based Transducer Enabled Optical Fiber Refractive Index Sensor Operating at the Temperature Range of 10oC to 60oC
2021 · S. Srinivasulu, Sandhya Rao · European Journal of Molecular & Clinical Medicine
Multifunctional Fiber Optic Passive Glass Sensor: Determination of Various Environmental Parameters at 303.15K Temperature Using 660nm Light Source
2020 · S. Srinivasulu, S. Venkateswara Rao · Journal of Physics Conference Series
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Estimation of Content of Sugar in the Sugar Solution Using Extrinsic Fiber Optic U–Shaped Glass Sensor Operating at the Wavelength of 660nm
2019 · S. Srinivasulu, Dr.S. Venkateswara Rao · Journal of Advanced Research in Dynamical and Control Systems
Works count: 32
Citation count: 1,448
H-index: 9
I10-index: 9
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