Potential application of wavelet neural network ensemble to forecast streamflow for flood management KS Kasiviswanathan, J He, KP Sudheer, JH Tay Journal of Hydrology 536, 161–173, 2016 | 168 | 2016 |
Indian Summer Monsoon Rainfall: Implications of Contrasting Trends in the Spatial Variability of Means and Extremes S Ghosh, H Vittal, T Sharma, S Karmakar, KS Kasiviswanathan, ... Plos One, 1-14, 2016 | 157 | 2016 |
Methods used for quantifying the prediction uncertainty of artificial neural network based hydrologic models KS Kasiviswanathan, KP Sudheer Stochastic Environmental Research and Risk Assessment, 1-12, 2016 | 105* | 2016 |
Constructing prediction interval for artificial neural network rainfall runoff models based on ensemble simulations KS Kasiviswanathan, R Cibin, KP Sudheer, I Chaubey Journal of Hydrology 499, 275-288, 2013 | 105 | 2013 |
Quantification of the predictive uncertainty of artificial neural network based river flow forecast models KS Kasiviswanathan, KP Sudheer Stochastic environmental research and risk assessment 27, 137-146, 2013 | 102 | 2013 |
Genetic programming based monthly groundwater level forecast models with uncertainty quantification KS Kasiviswanathan, S Saravanan, M Balamurugan, K Saravanan Model. Earth Syst. Environ. 2 (27), 1-11, 2016 | 50 | 2016 |
COVID-19 lockdown disruptions on water resources, wastewater, and agriculture in India M Balamurugan, KS Kasiviswanathan, I Ilampooranan, BS Soundharajan Frontiers in Water 3, 603531, 2021 | 43 | 2021 |
A global-scale hydropower potential assessment and feasibility evaluations WM Tefera, KS Kasiviswanathan Water Resources and Economics 38, 100198, 2022 | 29 | 2022 |
Uncertainty quantification using the particle filter for non-stationary hydrological frequency analysis S Sen, J He, KS Kasiviswanathan Journal of Hydrology 584, 124666, 2020 | 25 | 2020 |
Flood frequency analysis using multi-objective optimization based interval estimation approach KS Kasiviswanathan, J He, JH Tay Journal of Hydrology, 2016 | 25 | 2016 |
Quantification of Prediction Uncertainty in Artificial Neural Network Models KS Kasiviswanathan, KP Sudheer, J He Artificial Neural Network Modelling, Studies in Computational Intelligence …, 2016 | 25 | 2016 |
Trends and Non-stationarity in groundwater level changes in rapidly developing Indian cities A Mohanavelu, KS Kasiviswanathan, S Mohanasundaram, ... Water 12 (11), 3209, 2020 | 22 | 2020 |
Assessment of the spatial–temporal distribution of groundwater recharge in data-scarce large-scale African river basin AH Gelebo, KS Kasiviswanathan, D Khare Environmental Monitoring and Assessment 194 (3), 157, 2022 | 19 | 2022 |
Implications of uncertainty in inflow forecasting on reservoir operation for irrigation KS Kasiviswanathan, KP Sudheer, BS Soundharajan, AJ Adeloye Paddy and Water Environment 19, 99-111, 2021 | 18 | 2021 |
Quantification of water resource sustainability in response to drought risk assessment for Afghanistan river basins R Dost, KS Kasiviswanathan Natural Resources Research 32 (1), 235-256, 2023 | 17 | 2023 |
Stationary hydrological frequency analysis coupled with uncertainty assessment under nonstationary scenarios CT Vidrio-Sahagún, J He, KS Kasiviswanathan, S Sen Journal of Hydrology 598, 125725, 2021 | 17 | 2021 |
Probabilistic and ensemble simulation approaches for input uncertainty quantification of artificial neural network hydrological models KS Kasiviswanathan, KP Sudheer, J He Hydrological Sciences Journal 63 (1), 101-113, 2018 | 16 | 2018 |
Radial basis function artificial neural network: Spread selection KS Kasiviswanathan, A Agarwal International Journal of Advanced Computer Science 2 (11), 394-398, 2012 | 15 | 2012 |
Height–area–storage functional models for evaporation-loss inclusion in reservoir-planning analysis AJ Adeloye, IY Wuni, QV Dau, BS Soundharajan, KS Kasiviswanathan Water 11 (7), 1413, 2019 | 14 | 2019 |
A Novel Physics‐Aware Machine Learning‐Based Dynamic Error Correction Model for Improving Streamflow Forecast Accuracy A Roy, KS Kasiviswanathan, S Patidar, AJ Adeloye, BS Soundharajan, ... Water Resources Research 59 (2), e2022WR033318, 2023 | 13 | 2023 |