A Framework to Stochastically Evaluate Watershed Models. - Indrajeet Chaubey; K. P. Sudheer (IICAI, 2005)

Development of Integrated Discharge and Sediment Rating Curves Using Radial Basis Function Neural Network. - S. K. Jain; K. P. Sudheer (IICAI, 2005)

Selection of Optimal Band Combination for Neural Network based Water Quality Retrievals from Landsat TM data. - K. P. Sudheer; Indrajeet Chaubey; Vijay Garg (IICAI, 2005)

Methods used for the development of neural networks for the prediction of water resource variables in river systems: Current status and future directions. - Holger R. Maier; Ashu Jain; Graeme C. Dandy; K. P. Sudheer (Environ. Model. Softw., 2010)

Artificial Neural Network Approach for Mapping Contrasting Tillage Practices. - K. P. Sudheer; Prasanna Gowda; Indrajeet Chaubey; Terry Howell (Remote. Sens., 2010)

Uncertainty Analysis on Neural Network Based Hydrological Models Using Probabilistic Point Estimate Method. - K. S. Kasiviswanathan; K. P. Sudheer (SocProS (1), 2011)

Application of a pseudo simulator to evaluate the sensitivity of parameters in complex watershed models. - K. P. Sudheer; G. Lakshmi; Indrajeet Chaubey (Environ. Model. Softw., 2011)

River flow forecasting through nonlinear local approximation in a fuzzy model. - P. C. Nayak; K. P. Sudheer; S. K. Jain (Neural Comput. Appl., 2014)

Marginal land suitability for switchgrass, Miscanthus and hybrid poplar in the Upper Mississippi River Basin (UMRB). - Qingyu Feng; Indrajeet Chaubey; Bernard A. Engel; Raj Cibin; K. P. Sudheer; Jeffrey Volenec (Environ. Model. Softw., 2017)

Modeling and optimization of developed cocoa beans extractor parameters using box behnken design and artificial neural network. - V. Srikanth; G. K. Rajesh; Anjineyulu Kothakota; R. Pandiselvam; Nukasani Sagarika; M. R. Manikantan; K. P. Sudheer (Comput. Electron. Agric., 2020)

Parameterization in hydrological models through clustering of the simulation time period and multi-objective optimization based calibration. - G. Lakshmi; K. P. Sudheer (Environ. Model. Softw., 2021)

Investigating the influence of measurement uncertainty on chlorophyll-a predictions as an indicator of harmful algal blooms in machine learning models. - I. Busari; Debabrata Sahoo; K. P. Sudheer; R. D. Harmel; C. Privette; Mark Schlautman; C. Sawyer (Ecol. Informatics, 2024)

Improving the usability of global SRTM DEM for reach-scale floodplain inundation mapping in data-scarce regions through bias correction. - Ismail Jesna; S. Murty Bhallamudi; K. P. Sudheer (Earth Sci. Informatics, 2025)