Tien Bui D - Search Results

1

Predicting uncertainty of machine learning models for modelling nitrate pollution of groundwater using quantile regression and UNEEC methods.

Rahmati O, Choubin B, Fathabadi A, Coulon F, Soltani E, Shahabi H, Mollaefar E, Tiefenbacher J, Cipullo S, Ahmad BB, Tien Bui D. Rahmati O, et al. Among authors: tien bui d. Sci Total Environ. 2019 Oct 20;688:855-866. doi: 10.1016/j.scitotenv.2019.06.320. Epub 2019 Jun 21. Sci Total Environ. 2019. PMID: 31255823

2

Land subsidence modelling using tree-based machine learning algorithms.

Rahmati O, Falah F, Naghibi SA, Biggs T, Soltani M, Deo RC, Cerdà A, Mohammadi F, Tien Bui D. Rahmati O, et al. Among authors: tien bui d. Sci Total Environ. 2019 Jul 1;672:239-252. doi: 10.1016/j.scitotenv.2019.03.496. Epub 2019 Apr 2. Sci Total Environ. 2019. PMID: 30959291

3

Capability and robustness of novel hybridized models used for drought hazard modeling in southeast Queensland, Australia.

Rahmati O, Panahi M, Kalantari Z, Soltani E, Falah F, Dayal KS, Mohammadi F, Deo RC, Tiefenbacher J, Tien Bui D. Rahmati O, et al. Among authors: tien bui d. Sci Total Environ. 2020 May 20;718:134656. doi: 10.1016/j.scitotenv.2019.134656. Epub 2019 Nov 25. Sci Total Environ. 2020. PMID: 31839310

4

Identifying sources of dust aerosol using a new framework based on remote sensing and modelling.

Rahmati O, Mohammadi F, Ghiasi SS, Tiefenbacher J, Moghaddam DD, Coulon F, Nalivan OA, Tien Bui D. Rahmati O, et al. Among authors: tien bui d. Sci Total Environ. 2020 Oct 1;737:139508. doi: 10.1016/j.scitotenv.2020.139508. Epub 2020 May 19. Sci Total Environ. 2020. PMID: 32531509

5

A comparative assessment of decision trees algorithms for flash flood susceptibility modeling at Haraz watershed, northern Iran.

Khosravi K, Pham BT, Chapi K, Shirzadi A, Shahabi H, Revhaug I, Prakash I, Tien Bui D. Khosravi K, et al. Among authors: tien bui d. Sci Total Environ. 2018 Jun 15;627:744-755. doi: 10.1016/j.scitotenv.2018.01.266. Epub 2018 Feb 2. Sci Total Environ. 2018. PMID: 29426199

6

Land Subsidence Susceptibility Mapping in South Korea Using Machine Learning Algorithms.

Tien Bui D, Shahabi H, Shirzadi A, Chapi K, Pradhan B, Chen W, Khosravi K, Panahi M, Bin Ahmad B, Saro L. Tien Bui D, et al. Sensors (Basel). 2018 Jul 31;18(8):2464. doi: 10.3390/s18082464. Sensors (Basel). 2018. PMID: 30065216 Free PMC article.

7

Novel GIS Based Machine Learning Algorithms for Shallow Landslide Susceptibility Mapping.

Shirzadi A, Soliamani K, Habibnejhad M, Kavian A, Chapi K, Shahabi H, Chen W, Khosravi K, Thai Pham B, Pradhan B, Ahmad A, Bin Ahmad B, Tien Bui D. Shirzadi A, et al. Among authors: tien bui d. Sensors (Basel). 2018 Nov 5;18(11):3777. doi: 10.3390/s18113777. Sensors (Basel). 2018. PMID: 30400627 Free PMC article.

8

A Novel Ensemble Artificial Intelligence Approach for Gully Erosion Mapping in a Semi-Arid Watershed (Iran).

Tien Bui D, Shirzadi A, Shahabi H, Chapi K, Omidavr E, Pham BT, Talebpour Asl D, Khaledian H, Pradhan B, Panahi M, Bin Ahmad B, Rahmani H, Gróf G, Lee S. Tien Bui D, et al. Sensors (Basel). 2019 May 29;19(11):2444. doi: 10.3390/s19112444. Sensors (Basel). 2019. PMID: 31146336 Free PMC article.

9

Development of novel hybridized models for urban flood susceptibility mapping.

Rahmati O, Darabi H, Panahi M, Kalantari Z, Naghibi SA, Ferreira CSS, Kornejady A, Karimidastenaei Z, Mohammadi F, Stefanidis S, Tien Bui D, Haghighi AT. Rahmati O, et al. Among authors: tien bui d. Sci Rep. 2020 Jul 31;10(1):12937. doi: 10.1038/s41598-020-69703-7. Sci Rep. 2020. PMID: 32737384 Free PMC article.

10

A novel deep learning neural network approach for predicting flash flood susceptibility: A case study at a high frequency tropical storm area.

Tien Bui D, Hoang ND, Martínez-Álvarez F, Ngo PT, Hoa PV, Pham TD, Samui P, Costache R. Tien Bui D, et al. Sci Total Environ. 2020 Jan 20;701:134413. doi: 10.1016/j.scitotenv.2019.134413. Epub 2019 Sep 12. Sci Total Environ. 2020. PMID: 31706212

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