K. P. Sudheer

According to our database, K. P. Sudheer authored at least 12 papers between 2005 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Investigating the influence of measurement uncertainty on chlorophyll-a predictions as an indicator of harmful algal blooms in machine learning models.

I. Busari, D. Sahoo, K. P. Sudheer, R. D. Harmel, C. Privette, Mark Schlautman, C. Sawyer

Ecol. Informatics, 2024

2021

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

2020

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

2017

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

2014

River flow forecasting through nonlinear local approximation in a fuzzy model.

P. C. Nayak, K. P. Sudheer, S. K. Jain

Neural Comput. Appl., 2014

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

Uncertainty Analysis on Neural Network Based Hydrological Models Using Probabilistic Point Estimate Method.

K. S. Kasiviswanathan, K. P. Sudheer

Proceedings of the International Conference on Soft Computing for Problem Solving (SocProS 2011) December 20-22, 2011, 2011

2010

Artificial Neural Network Approach for Mapping Contrasting Tillage Practices.

K. P. Sudheer, Prasanna Gowda, Indrajeet Chaubey, Terry Howell

Remote. Sens., 2010

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

2005

Selection of Optimal Band Combination for Neural Network based Water Quality Retrievals from Landsat TM data.

K. P. Sudheer, Indrajeet Chaubey, Vijay Garg

Proceedings of the 2nd Indian International Conference on Artificial Intelligence, 2005

Development of Integrated Discharge and Sediment Rating Curves Using Radial Basis Function Neural Network.

S. K. Jain, K. P. Sudheer

Proceedings of the 2nd Indian International Conference on Artificial Intelligence, 2005

A Framework to Stochastically Evaluate Watershed Models.

Indrajeet Chaubey, K. P. Sudheer

Proceedings of the 2nd Indian International Conference on Artificial Intelligence, 2005