C. Sivapragasam

发表

Project-based Learning-A Novel Approach to Teach Biosensors and Transducers Course for Engineering Students

Sakthivel Sankaran, M. Pallikonda Rajasekaran, C. Sivapragasam, 2020 .

A NEW APPROACH TO EXTENSION OF RATING CURVE

C. Sivapragasam, Nitin Muttil, 2004 .

Effect of inflow forecast accuracy and operating time horizon in optimizing irrigation releases

P. Vincent, C. Sivapragasam, G. Vasudevan, 2007 .

FLOOD STAGE FORECASTING WITH SUPPORT VECTOR MACHINES 1

Shie-Yui Liong, C. Sivapragasam, S. Liong, 2002 .

Reply to comment on ‘Sivapragasam C, Maheswaran R, Venkatesh V. 2008. Genetic programming approach for flood routing in natural channels. Hydrological Processes 22: 623–628’

C. Sivapragasam, R. Maheswaran, Veena Venkatesh, 2010 .

A simple approach for improving spatial interpolation of rainfall using ANN

C. Sivapragasam, V. M Arun, D. Giridhar, 2010 .

A conceptual framework for real time estimation of WFP for small hydroelectric power plant

M. Pallikonda Rajasekaran, C. Sivapragasam, M. Vinotha, 2017 .

IDENTIFYING OPTIMAL TRAINING DATA SET - A NEW APPROACH

Shie-Yui Liong, C. Sivapragasam, 2004 .

Mathematical Modeling of Gradually Varied Flow with Genetic Programming: A Lab-Scale Application

C. Sivapragasam, Poomalai Saravanan, Kaliappan Ganeshmoorthy, 2018, Information and Communication Technology for Intelligent Systems.

Rule reduction in fuzzy logic for better interpretability in reservoir operation

C. Sivapragasam, G. Vasudevan, M. Marimuthu, 2007 .

Flow categorization model for improving forecasting

Shie-Yui Liong, C. Sivapragasam, 2005 .

ANN-Based Bias Correction Algorithm for Precipitation in the Yarra River Basin, Australia

C. Sivapragasam, P. Saravanan, V. Vel Murugan, 2016, ICTCSDM.

Developing Virtual Labs in Fluid Mechanics with UG Students’ Involvement

C. Sivapragasam, P. Saravanan, B. Archana, 2019 .

Modeling of Dissolved Oxygen Using Genetic Programming Approach

C. Sivapragasam, S. Vanitha, N. V. N. Nampoothiri, 2016, ICTCSDM.

TOWARDS EFFICIENT MULTIPURPOSE RESERVOIR OPERATION: A NEW APPROACH

Shie-Yui Liong, V. Chandramouli, C. Sivapragasam, 2002 .

Rainfall and runoff forecasting with SSA-SVM approach

Shie-Yui Liong, C. Sivapragasam, M. F. K. Pasha, 2001 .

Monthly flow forecast for Mississippi River basin using artificial neural networks

Nitin Muttil, C. Sivapragasam, S. Vanitha, 2013, Neural Computing and Applications.

ANN-based Model for Aiding Leak Detection in Water Distribution Networks

C. Sivapragasam, R. Maheswaran, Veena Venkatesh, 2008 .

Fuzzy Logic for reservoir operation with reduced rules

C. Sivapragasam, G. Vasudevan, M. Marimuthu, 2008 .

Improving Student Outcome through Flexibility in Teaching and Evaluation Methods

C. Sivapragasam, N. C. Brintha, G. Ebenezer, 2021 .

Analysis on constructional hazards, risk assessment techniques and safety helmets in construction sites

C. Sivapragasam, V. Arumugaprabu, S. Ajith, 2019, INTERNATIONAL CONFERENCE ON MATERIALS, MANUFACTURING AND MACHINING 2019.

Genetic programming model for forecast of short and noisy data

C. Sivapragasam, P. Vincent, G. Vasudevan, 2007 .

Forecasting Cultivated Areas And Production Of Wheat In India Using ARIMA Model

C. Sivapragasam, K. Prabakaran, C. Jeevapriya, 2013 .

Modeling Evaporation-Seepage Losses for Reservoir Water Balance in Semi-arid Regions

C. Sivapragasam, J. Maran, N. Ganesh, 2009 .

Infilling of Rainfall Information Using Genetic Programming

Nitin Muttil, C. Sivapragasam, M. Catherin Jeselia, 2015 .

Discharge Rating Curve Extension – A New Approach

Nitin Muttil, C. Sivapragasam, N. Muttil, 2005 .

Assessing Suitability of GP Modeling for Groundwater Level

C. Sivapragasam, S. Raja, K. Kannabiran, 2015 .