Support vector machines in water quality management.

By K. P. Singh, N. Basant, Shikha Gupta. Analytica Chimica Acta, 2011

305 citations recorded by the source corpus.

Subfields: Environmental Engineering, Industrial and Manufacturing Engineering, Water Science and Technology

View Paper: https://www.semanticscholar.org/paper/6d8bd605d0d20ffbab1a039256255d6c13f69d5c

How researchers see this paper

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

In Environmental Engineering

1. Jan Adamowski
2. A. H. Baghanam
3. Vahid Nourani
4. Ozgur Kisi
5. Kwok-Wing Chau
6. Masoud Karbasi
7. Ravinesh C. Deo
8. Mukesh Tiwari

In Water Science and Technology

1. Jan Adamowski
2. Vahid Nourani
3. A. H. Baghanam
4. Ozgur Kisi
5. Masoud Karbasi
6. Kwok-Wing Chau
7. Ravinesh C. Deo
8. John M. Quilty

Citations in the corpus

• Applications of hybrid wavelet–Artificial Intelligence models in hydrology: A review (2014, background): “…and Datta (2009) Yoon et al. (2011) Water quality modeling Singh et al. (2009) Pai et al. (2009) Eslamian and Lavaei (2009) Dhar and Datta (2009) Singh et al. (2011) sub-signals at different temporal scales (levels) is helpful in better interpreting hydrological processes (Adamowski, 2008a,b;…”