| FLOOD STAGE FORECASTING WITH SUPPORT VECTOR MACHINES1 SY Liong, C Sivapragasam JAWRA Journal of the American Water Resources Association 38 (1), 173-186, 2002 | 411 | 2002 |
| Rainfall and runoff forecasting with SSA–SVM approach C Sivapragasam, SY Liong, MFK Pasha Journal of Hydroinformatics 3 (3), 141-152, 2001 | 255 | 2001 |
| 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 | 122 | 2008 |
| Discharge rating curve extension–a new approach C Sivapragasam, N Muttil Water Resources Management 19, 505-520, 2005 | 118 | 2005 |
| Flow categorization model for improving forecasting C Sivapragasam, SY Liong Hydrology Research 36 (1), 37-48, 2005 | 73 | 2005 |
| Prediction of algal blooms using genetic programming C Sivapragasam, N Muttil, S Muthukumar, VM Arun Marine pollution bulletin 60 (10), 1849-1855, 2010 | 66 | 2010 |
| 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 | 47 | 2007 |
| 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 | 45 | 2009 |
| 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 | 38 | 2019 |
| 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 | 34 | 2019 |
| 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 | 34 | 2010 |
| 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 | 26 | 2014 |
| 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 | 23 | 2007 |
| 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 | 22 | 2019 |
| Assessing suitability of GP modeling for groundwater level C Sivapragasam, K Kannabiran, G Karthik, S Raja Aquatic Procedia 4, 693-699, 2015 | 20 | 2015 |
| A review on hazards and their consequences in firework industries S Ajith, C Sivapragasam, V Arumugaprabu SN Applied Sciences 1 (1), 120, 2019 | 18 | 2019 |
| Infilling of rainfall information using genetic programming C Sivapragasam, N Muttil, MC Jeselia, S Visweshwaran Aquatic Procedia 4, 1016-1022, 2015 | 17 | 2015 |
| Study on synthetic geotextiles for road pavements C Sivapragasam, S Vanitha, VM Arun, S Sutharsanam IGC Mumbai Chapter & IIT Bombay 255, 258, 2010 | 15 | 2010 |
| Fuzzy logic for reservoir operation with reduced rules C Sivapragasam, P Sugendran, M Marimuthu, S Seenivasakan, ... Environmental progress 27 (1), 98-103, 2008 | 14 | 2008 |
| Identifying Optimal Training Data Set-A New Approach C Sivapragasam, SYUI LIONG Hydroinformatics: (In 2 Volumes, with CD-ROM), 1621-1628, 2004 | 13 | 2004 |
Shie-Yui LIONGTropical Marine Science Institute, National University of Singapore在 nus.edu.sg 的电子邮件经过验证
