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Mapping groundwater contamination risk of multiple aquifers using multi-model ensemble of machine learning algorithms.
Sci Total Environ. 2018 Apr 15;621:697-712. doi: 10.1016/j.scitotenv.2017.11.185. Epub 2017 Nov 30.
Sci Total Environ. 2018.
PMID: 29197289
Forecasting of groundwater level fluctuations using ensemble hybrid multi-wavelet neural network-based models.
Barzegar R, Fijani E, Asghari Moghaddam A, Tziritis E.
Barzegar R, et al. Among authors: fijani e.
Sci Total Environ. 2017 Dec 1;599-600:20-31. doi: 10.1016/j.scitotenv.2017.04.189. Epub 2017 Apr 29.
Sci Total Environ. 2017.
PMID: 28463698
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Design and implementation of a hybrid model based on two-layer decomposition method coupled with extreme learning machines to support real-time environmental monitoring of water quality parameters.
Fijani E, Barzegar R, Deo R, Tziritis E, Skordas K.
Fijani E, et al.
Sci Total Environ. 2019 Jan 15;648:839-853. doi: 10.1016/j.scitotenv.2018.08.221. Epub 2018 Aug 18.
Sci Total Environ. 2019.
PMID: 30138884
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