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Items: 4

1.

Evaluation of Recent Advanced Soft Computing Techniques for Gully Erosion Susceptibility Mapping: A Comparative Study.

Arabameri A, Blaschke T, Pradhan B, Pourghasemi HR, Tiefenbacher JP, Bui DT.

Sensors (Basel). 2020 Jan 7;20(2). pii: E335. doi: 10.3390/s20020335.

2.

Novel ensembles of COPRAS multi-criteria decision-making with logistic regression, boosted regression tree, and random forest for spatial prediction of gully erosion susceptibility.

Arabameri A, Yamani M, Pradhan B, Melesse A, Shirani K, Tien Bui D.

Sci Total Environ. 2019 Oct 20;688:903-916. doi: 10.1016/j.scitotenv.2019.06.205. Epub 2019 Jun 20.

PMID:
31255826
3.

A comparison of statistical methods and multi-criteria decision making to map flood hazard susceptibility in Northern Iran.

Arabameri A, Rezaei K, Cerdà A, Conoscenti C, Kalantari Z.

Sci Total Environ. 2019 Apr 10;660:443-458. doi: 10.1016/j.scitotenv.2019.01.021. Epub 2019 Jan 5.

PMID:
30640112
4.

GIS-based groundwater potential mapping in Shahroud plain, Iran. A comparison among statistical (bivariate and multivariate), data mining and MCDM approaches.

Arabameri A, Rezaei K, Cerda A, Lombardo L, Rodrigo-Comino J.

Sci Total Environ. 2019 Mar 25;658:160-177. doi: 10.1016/j.scitotenv.2018.12.115. Epub 2018 Dec 11.

PMID:
30577015

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