A novel intelligent expert system for exploring water quality data.
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| Title: | A novel intelligent expert system for exploring water quality data. |
|---|---|
| Authors: | Vald G; IIHR Hydroscience and Engineering, University of Iowa, Iowa City, IA 52246, USA.; ByWater Institute, Tulane University, New Orleans, LA 70118, USA E-mail: gvald@tulane.edu., Sermet Y; IIHR Hydroscience and Engineering, University of Iowa, Iowa City, IA 52246, USA.; ByWater Institute, Tulane University, New Orleans, LA 70118, USA.; Pediatrics, School of Medicine, Tulane University, New Orleans, LA 70118, USA., Mount J; IIHR Hydroscience and Engineering, University of Iowa, Iowa City, IA 52246, USA., Shrestha S; IIHR Hydroscience and Engineering, University of Iowa, Iowa City, IA 52246, USA.; ByWater Institute, Tulane University, New Orleans, LA 70118, USA., Samuel DJ; Mathematics and Physics, Pittsburg State University, Pittsburg, KS 66762, USA., Cwiertny D; IIHR Hydroscience and Engineering, University of Iowa, Iowa City, IA 52246, USA.; Department of Civil and Environmental Engineering, University of Iowa, Iowa City, IA 52246, USA.; Department of Chemistry, University of Iowa, Iowa City, IA 52246, USA.; Center for Health Effects of Environmental Contamination, University of Iowa, Iowa City, IA 52246, USA., Demir I; ByWater Institute, Tulane University, New Orleans, LA 70118, USA.; River-Coastal Science and Engineering, Tulane University, New Orleans, LA 70118, USA. |
| Source: | Water science and technology : a journal of the International Association on Water Pollution Research [Water Sci Technol] 2026 Feb; Vol. 93 (4), pp. 411-427. Date of Electronic Publication: 2026 Jan 20. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: IWA Publishing Country of Publication: England NLM ID: 9879497 Publication Model: Print-Electronic Cited Medium: Print ISSN: 0273-1223 (Print) Linking ISSN: 02731223 NLM ISO Abbreviation: Water Sci Technol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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