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2019 | 3 |
2020 | 2 |
2024 | 0 |
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Land subsidence modelling using tree-based machine learning algorithms.
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
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.
Rahmati O, et al. Among authors: falah f.
Sci Total Environ. 2020 Jan 10;699:134230. doi: 10.1016/j.scitotenv.2019.134230. Epub 2019 Sep 6.
Sci Total Environ. 2020.
PMID: 31522053
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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: falah f.
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
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