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Items: 1 to 20 of 31

1.

Fuzzy-metaheuristic ensembles for spatial assessment of forest fire susceptibility.

Moayedi H, Mehrabi M, Bui DT, Pradhan B, Foong LK.

J Environ Manage. 2020 Apr 15;260:109867. doi: 10.1016/j.jenvman.2019.109867. Epub 2020 Jan 22.

PMID:
32090793
2.

Enhancing nitrate and strontium concentration prediction in groundwater by using new data mining algorithm.

Bui DT, Khosravi K, Karimi M, Busico G, Khozani ZS, Nguyen H, Mastrocicco M, Tedesco D, Cuoco E, Kazakis N.

Sci Total Environ. 2020 Jan 24;715:136836. doi: 10.1016/j.scitotenv.2020.136836. [Epub ahead of print]

PMID:
32007881
3.

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.

4.

Identification of areas prone to flash-flood phenomena using multiple-criteria decision-making, bivariate statistics, machine learning and their ensembles.

Costache R, Tien Bui D.

Sci Total Environ. 2020 Apr 10;712:136492. doi: 10.1016/j.scitotenv.2019.136492. Epub 2020 Jan 7.

PMID:
31927448
5.

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.

Sci Total Environ. 2019 Nov 25:134656. doi: 10.1016/j.scitotenv.2019.134656. [Epub ahead of print]

PMID:
31839310
6.

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.

Sci Total Environ. 2020 Jan 20;701:134413. doi: 10.1016/j.scitotenv.2019.134413. Epub 2019 Sep 12.

PMID:
31706212
7.

Spatial Landslide Susceptibility Assessment Based on Novel Neural-Metaheuristic Geographic Information System Based Ensembles.

Moayedi H, Osouli A, Tien Bui D, Foong LK.

Sensors (Basel). 2019 Oct 29;19(21). pii: E4698. doi: 10.3390/s19214698.

8.

Slope Stability Monitoring Using Novel Remote Sensing Based Fuzzy Logic.

Moayedi H, Tien Bui D, Kok Foong L.

Sensors (Basel). 2019 Oct 24;19(21). pii: E4636. doi: 10.3390/s19214636.

9.

Multi-hazards vulnerability assessment of southern coasts of Iran.

Mafi-Gholami D, Zenner EK, Jaafari A, Riyahi Bakhtyari HR, Tien Bui D.

J Environ Manage. 2019 Dec 15;252:109628. doi: 10.1016/j.jenvman.2019.109628. Epub 2019 Oct 1.

PMID:
31585255
10.

Machine learning approaches for spatial modeling of agricultural droughts in the south-east region of Queensland Australia.

Rahmati O, Falah F, Dayal KS, Deo RC, Mohammadi F, Biggs T, Moghaddam DD, Naghibi SA, Bui DT.

Sci Total Environ. 2020 Jan 10;699:134230. doi: 10.1016/j.scitotenv.2019.134230. Epub 2019 Sep 6.

PMID:
31522053
11.

Spatial prediction of flood potential using new ensembles of bivariate statistics and artificial intelligence: A case study at the Putna river catchment of Romania.

Costache R, Tien Bui D.

Sci Total Environ. 2019 Nov 15;691:1098-1118. doi: 10.1016/j.scitotenv.2019.07.197. Epub 2019 Jul 16.

PMID:
31466192
12.

Prediction of Pullout Behavior of Belled Piles through Various Machine Learning Modelling Techniques.

Tien Bui D, Moayedi H, Abdullahi MM, Safuan A Rashid A, Nguyen H.

Sensors (Basel). 2019 Aug 24;19(17). pii: E3678. doi: 10.3390/s19173678.

13.

A Novel Swarm Intelligence-Harris Hawks Optimization for Spatial Assessment of Landslide Susceptibility.

Bui DT, Moayedi H, Kalantar B, Osouli A, Pradhan B, Nguyen H, Rashid ASA.

Sensors (Basel). 2019 Aug 17;19(16). pii: E3590. doi: 10.3390/s19163590.

14.

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
15.

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.

Sci Total Environ. 2019 Oct 20;688:855-866. doi: 10.1016/j.scitotenv.2019.06.320. Epub 2019 Jun 21.

PMID:
31255823
16.

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.

Sensors (Basel). 2019 May 29;19(11). pii: E2444. doi: 10.3390/s19112444.

17.

Genetic and firefly metaheuristic algorithms for an optimized neuro-fuzzy prediction modeling of wildfire probability.

Jaafari A, Razavi Termeh SV, Bui DT.

J Environ Manage. 2019 Aug 1;243:358-369. doi: 10.1016/j.jenvman.2019.04.117. Epub 2019 May 16.

PMID:
31103681
18.

Development of artificial intelligence models for the prediction of Compression Coefficient of soil: An application of Monte Carlo sensitivity analysis.

Pham BT, Nguyen MD, Dao DV, Prakash I, Ly HB, Le TT, Ho LS, Nguyen KT, Ngo TQ, Hoang V, Son LH, Ngo HTT, Tran HT, Do NM, Van Le H, Ho HL, Tien Bui D.

Sci Total Environ. 2019 Aug 20;679:172-184. doi: 10.1016/j.scitotenv.2019.05.061. Epub 2019 May 7.

PMID:
31082591
19.

A Review of Remote Sensing Approaches for Monitoring Blue Carbon Ecosystems: Mangroves, Seagrassesand Salt Marshes during 2010⁻2018.

Pham TD, Xia J, Ha NT, Bui DT, Le NN, Tekeuchi W.

Sensors (Basel). 2019 Apr 24;19(8). pii: E1933. doi: 10.3390/s19081933. Review.

20.

Flash flood susceptibility modeling using an optimized fuzzy rule based feature selection technique and tree based ensemble methods.

Bui DT, Tsangaratos P, Ngo PT, Pham TD, Pham BT.

Sci Total Environ. 2019 Jun 10;668:1038-1054. doi: 10.1016/j.scitotenv.2019.02.422. Epub 2019 Mar 6.

PMID:
31018446

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