Pourghasemi HR - Search Results

1

Application of learning vector quantization and different machine learning techniques to assessing forest fire influence factors and spatial modelling.

Pourghasemi HR, Gayen A, Lasaponara R, Tiefenbacher JP. Pourghasemi HR, et al. Environ Res. 2020 May;184:109321. doi: 10.1016/j.envres.2020.109321. Epub 2020 Feb 29. Environ Res. 2020. PMID: 32199317

2

Accuracy assessment of land cover/land use classifiers in dry and humid areas of Iran.

Yousefi S, Khatami R, Mountrakis G, Mirzaee S, Pourghasemi HR, Tazeh M. Yousefi S, et al. Among authors: pourghasemi hr. Environ Monit Assess. 2015 Oct;187(10):641. doi: 10.1007/s10661-015-4847-1. Epub 2015 Sep 24. Environ Monit Assess. 2015. PMID: 26403704

3

GIS-based groundwater potential mapping using boosted regression tree, classification and regression tree, and random forest machine learning models in Iran.

Naghibi SA, Pourghasemi HR, Dixon B. Naghibi SA, et al. Among authors: pourghasemi hr. Environ Monit Assess. 2016 Jan;188(1):44. doi: 10.1007/s10661-015-5049-6. Epub 2015 Dec 19. Environ Monit Assess. 2016. PMID: 26687087

4

Flash flood susceptibility analysis and its mapping using different bivariate models in Iran: a comparison between Shannon^'s entropy, statistical index, and weighting factor models.

Khosravi K, Pourghasemi HR, Chapi K, Bahri M. Khosravi K, et al. Among authors: pourghasemi hr. Environ Monit Assess. 2016 Dec;188(12):656. doi: 10.1007/s10661-016-5665-9. Epub 2016 Nov 8. Environ Monit Assess. 2016. PMID: 27826821

5

Gully erosion susceptibility assessment and management of hazard-prone areas in India using different machine learning algorithms.

Gayen A, Pourghasemi HR, Saha S, Keesstra S, Bai S. Gayen A, et al. Among authors: pourghasemi hr. Sci Total Environ. 2019 Jun 10;668:124-138. doi: 10.1016/j.scitotenv.2019.02.436. Epub 2019 Mar 1. Sci Total Environ. 2019. PMID: 30851678

6

Multi-hazard probability assessment and mapping in Iran.

Pourghasemi HR, Gayen A, Panahi M, Rezaie F, Blaschke T. Pourghasemi HR, et al. Sci Total Environ. 2019 Nov 20;692:556-571. doi: 10.1016/j.scitotenv.2019.07.203. Epub 2019 Jul 17. Sci Total Environ. 2019. PMID: 31351297

7

How do data-mining models consider arsenic contamination in sediments and variables importance?

Mirchooli F, Motevalli A, Pourghasemi HR, Mohammadi M, Bhattacharya P, Maghsood FF, Tiefenbacher JP. Mirchooli F, et al. Among authors: pourghasemi hr. Environ Monit Assess. 2019 Nov 28;191(12):777. doi: 10.1007/s10661-019-7979-x. Environ Monit Assess. 2019. PMID: 31781968

8

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. Arabameri A, et al. Among authors: pourghasemi hr. Sensors (Basel). 2020 Jan 7;20(2):335. doi: 10.3390/s20020335. Sensors (Basel). 2020. PMID: 31936038 Free PMC article.

9

Using machine learning algorithms to map the groundwater recharge potential zones.

Pourghasemi HR, Sadhasivam N, Yousefi S, Tavangar S, Ghaffari Nazarlou H, Santosh M. Pourghasemi HR, et al. J Environ Manage. 2020 Jul 1;265:110525. doi: 10.1016/j.jenvman.2020.110525. Epub 2020 Apr 7. J Environ Manage. 2020. PMID: 32275245

10

Spatial modeling, risk mapping, change detection, and outbreak trend analysis of coronavirus (COVID-19) in Iran (days between February 19 and June 14, 2020).

Pourghasemi HR, Pouyan S, Heidari B, Farajzadeh Z, Fallah Shamsi SR, Babaei S, Khosravi R, Etemadi M, Ghanbarian G, Farhadi A, Safaeian R, Heidari Z, Tarazkar MH, Tiefenbacher JP, Azmi A, Sadeghian F. Pourghasemi HR, et al. Int J Infect Dis. 2020 Sep;98:90-108. doi: 10.1016/j.ijid.2020.06.058. Epub 2020 Jun 20. Int J Infect Dis. 2020. PMID: 32574693 Free PMC article.

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