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A Semi-Automated Object-Based Gully Networks Detection Using Different Machine Learning Models: A Case Study of Bowen Catchment, Queensland, Australia.
Sensors (Basel). 2019 Nov 9;19(22):4893. doi: 10.3390/s19224893.
Sensors (Basel). 2019.
PMID: 31717546
Free PMC article.
Determination of flood probability and prioritization of sub-watersheds: A comparison of game theory to machine learning.
Avand M, Khiavi AN, Khazaei M, Tiefenbacher JP.
Avand M, et al.
J Environ Manage. 2021 Oct 1;295:113040. doi: 10.1016/j.jenvman.2021.113040. Epub 2021 Jun 18.
J Environ Manage. 2021.
PMID: 34147991
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GIS-based spatial modeling of snow avalanches using four novel ensemble models.
Yariyan P, Avand M, Abbaspour RA, Karami M, Tiefenbacher JP.
Yariyan P, et al. Among authors: avand m.
Sci Total Environ. 2020 Nov 25;745:141008. doi: 10.1016/j.scitotenv.2020.141008. Epub 2020 Jul 20.
Sci Total Environ. 2020.
PMID: 32758728
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Predicting temporal and spatial variability in flood vulnerability and risk of rural communities at the watershed scale.
Avand M, Moradi H, Ramazanzadeh Lasboyee M.
Avand M, et al.
J Environ Manage. 2022 Dec 1;323:116261. doi: 10.1016/j.jenvman.2022.116261. Epub 2022 Sep 20.
J Environ Manage. 2022.
PMID: 36150353
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Novel hybrid models between bivariate statistics, artificial neural networks and boosting algorithms for flood susceptibility assessment.
Costache R, Pham QB, Avand M, Thuy Linh NT, Vojtek M, Vojteková J, Lee S, Khoi DN, Thao Nhi PT, Dung TD.
Costache R, et al. Among authors: avand m.
J Environ Manage. 2020 Jul 1;265:110485. doi: 10.1016/j.jenvman.2020.110485. Epub 2020 Apr 20.
J Environ Manage. 2020.
PMID: 32421551
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Groundwater Potential Mapping Using GIS-Based Hybrid Artificial Intelligence Methods.
Phong TV, Pham BT, Trinh PT, Ly HB, Vu QH, Ho LS, Le HV, Phong LH, Avand M, Prakash I.
Phong TV, et al. Among authors: avand m.
Ground Water. 2021 Sep;59(5):745-760. doi: 10.1111/gwat.13094. Epub 2021 Mar 31.
Ground Water. 2021.
PMID: 33745148
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