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Comparative Analysis of Artificial Intelligence Models for Accurate Estimation of Groundwater Nitrat...

Comparative Analysis of Artificial Intelligence Models for Accurate Estimation of Groundwater Nitrat...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_06c49896ddcf4fdc879f2d0c55e0c40e

Comparative Analysis of Artificial Intelligence Models for Accurate Estimation of Groundwater Nitrate Concentration

About this item

Full title

Comparative Analysis of Artificial Intelligence Models for Accurate Estimation of Groundwater Nitrate Concentration

Publisher

Basel: MDPI AG

Journal title

Sensors (Basel, Switzerland), 2020-10, Vol.20 (20), p.5763

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

Contents

Prediction of the groundwater nitrate concentration is of utmost importance for pollution control and water resource management. This research aims to model the spatial groundwater nitrate concentration in the Marvdasht watershed, Iran, based on several artificial intelligence methods of support vector machine (SVM), Cubist, random forest (RF), and...

Alternative Titles

Full title

Comparative Analysis of Artificial Intelligence Models for Accurate Estimation of Groundwater Nitrate Concentration

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_06c49896ddcf4fdc879f2d0c55e0c40e

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_06c49896ddcf4fdc879f2d0c55e0c40e

Other Identifiers

ISSN

1424-8220

E-ISSN

1424-8220

DOI

10.3390/s20205763

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