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Siva Pragasam
Siva Pragasam
Professor, Dept. of Civil Engineering, Kalasalingam Academy of Research
Verified email at klu.ac.in
Title
Cited by
Cited by
Year
FLOOD STAGE FORECASTING WITH SUPPORT VECTOR MACHINES1
SY Liong, C Sivapragasam
JAWRA Journal of the American Water Resources Association 38 (1), 173-186, 2002
4032002
Rainfall and runoff forecasting with SSA–SVM approach
C Sivapragasam, SY Liong, MFK Pasha
Journal of Hydroinformatics 3 (3), 141-152, 2001
2522001
Genetic programming approach for flood routing in natural channels
C Sivapragasam, R Maheswaran, V Venkatesh
Hydrological Processes: An International Journal 22 (5), 623-628, 2008
1212008
Discharge rating curve extension–a new approach
C Sivapragasam, N Muttil
Water Resources Management 19, 505-520, 2005
1192005
Flow categorization model for improving forecasting
C Sivapragasam, SY Liong
Hydrology Research 36 (1), 37-48, 2005
732005
Prediction of algal blooms using genetic programming
C Sivapragasam, N Muttil, S Muthukumar, VM Arun
Marine pollution bulletin 60 (10), 1849-1855, 2010
652010
Genetic programming model for forecast of short and noisy data
C Sivapragasam, P Vincent, G Vasudevan
Hydrological Processes: An International Journal 21 (2), 266-272, 2007
472007
Modeling evaporation-seepage losses for reservoir water balance in semi-arid regions
C Sivapragasam, G Vasudevan, J Maran, C Bose, S Kaza, N Ganesh
Water resources management 23, 853-867, 2009
452009
Genetic Programming Modeling for Pollutant Removal from Aerobic Bioreactor Treating Industrial Wastewater
NK Sharma, K Suganya, C Sivapragasam, M Matheswaran
2019 IEEE International Conference on Intelligent Techniques in Control …, 2019
372019
A simple approach for improving spatial interpolation of rainfall using ANN
C Sivapragasam, VM Arun, D Giridhar
Meteorology and Atmospheric physics 109, 1-7, 2010
322010
An investigation on the relationship between the Hurst exponent and the predictability of a rainfall time series
S Chandrasekaran, S Poomalai, B Saminathan, S Suthanthiravel, ...
Meteorological Applications 26 (3), 511-519, 2019
292019
Monthly flow forecast for Mississippi River basin using artificial neural networks
C Sivapragasam, S Vanitha, N Muttil, K Suganya, S Suji, ...
Neural Computing and Applications 24, 1785-1793, 2014
262014
Effect of inflow forecast accuracy and operating time horizon in optimizing irrigation releases
C Sivapragasam, G Vasudevan, P Vincent
Water resources management 21, 933-945, 2007
232007
Quantification of risk and assessment of key safety factors for safe workplace in Indian building construction sites
S Ajith, C Sivapragasam, V Arumugaprabu
Asian Journal of Civil Engineering 20 (5), 693-702, 2019
222019
Assessing suitability of GP modeling for groundwater level
C Sivapragasam, K Kannabiran, G Karthik, S Raja
Aquatic Procedia 4, 693-699, 2015
202015
A review on hazards and their consequences in firework industries
S Ajith, C Sivapragasam, V Arumugaprabu
SN Applied Sciences 1 (1), 120, 2019
172019
Infilling of rainfall information using genetic programming
C Sivapragasam, N Muttil, MC Jeselia, S Visweshwaran
Aquatic Procedia 4, 1016-1022, 2015
172015
Study on synthetic geotextiles for road pavements
C Sivapragasam, S Vanitha, VM Arun, S Sutharsanam
IGC Mumbai Chapter & IIT Bombay 255, 258, 2010
152010
Analysis of growth rates of rice and sorghum in Andhra Pradesh
K Prabakaran, C Sivapragasam
International Journal of Farm Sciences 3 (1), 1-9, 2013
132013
Fuzzy logic for reservoir operation with reduced rules
C Sivapragasam, P Sugendran, M Marimuthu, S Seenivasakan, ...
Environmental progress 27 (1), 98-103, 2008
132008
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