Entropy-based assessment and clustering of potential water resources availability

By T. Maruyama, T. Kawachi, Vijay P. Singh. 2005

109 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Ocean Engineering, Statistical and Nonlinear Physics

View Paper: https://www.semanticscholar.org/paper/0fa45472654a31c98eabb905a0754e62597c6fa9

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Hoshin V. Gupta

In Ocean Engineering

1. Hoshin V. Gupta
2. Jasper A. Vrugt
3. Thorsten Wagener
4. M. Clark

In Statistical and Nonlinear Physics

1. Ilias Pechlivanidis
2. Hoshin V. Gupta
3. B. Jackson
4. Hilary K. McMillan

Citations in the corpus

• Use of an entropy‐based metric in multiobjective calibration to improve model performance (2014, background): “This and further related measures have found scientific application in a range of problems in hydrology and water resources [Koutsoyiannis, 2005a, 2005b; Maruyama et al., 2005; Hejazi et al., 2008; Ruddell and Kumar, 2009; Singh, 2010]; see Singh [2011] for an extensive review.”