Nombre de documents archivés : 5.
Article
Alobaidi, Mohammad H.; Ouarda, Taha B. M. J. ORCID: https://orcid.org/0000-0002-0969-063X; Marpu, Prashanth R. et Chebana, Fateh ORCID: https://orcid.org/0000-0002-3329-8179
(2021).
Diversity-driven ANN-based ensemble framework for seasonal low-flow analysis at ungauged sites.
Advances in Water Resources
, vol. 147
.
p. 103814.
DOI: 10.1016/j.advwatres.2020.103814.
Alobaidi, Mohammad H.; Meguid, Mohamed A. et Chebana, Fateh ORCID: https://orcid.org/0000-0002-3329-8179
(2020).
Varying-parameter modeling within ensemble architecture: Application to extended streamflow forecasting.
Journal of Hydrology
, vol. 582
.
p. 124511.
DOI: 10.1016/j.jhydrol.2019.124511.
Alobaidi, Mohammad H.; Meguid, Mohamed A. et Chebana, Fateh ORCID: https://orcid.org/0000-0002-3329-8179
(2019).
Predicting seismic-induced liquefaction through ensemble learning frameworks.
Scientific Reports
, vol. 9
, nº 1.
p. 11786.
DOI: 10.1038/s41598-019-48044-0.
Alobaidi, Mohammad H.; Chebana, Fateh ORCID: https://orcid.org/0000-0002-3329-8179 et Meguid, Mohamed A.
(2018).
Robust ensemble learning framework for day-ahead forecasting of household based energy consumption.
Applied Energy
, vol. 212
.
pp. 997-1012.
DOI: 10.1016/j.apenergy.2017.12.054.
Alobaidi, Mohammad H.; Marpu, Prashanth R.; Ouarda, Taha B. M. J. ORCID: https://orcid.org/0000-0002-0969-063X et Chebana, Fateh ORCID: https://orcid.org/0000-0002-3329-8179
(2015).
Regional frequency analysis at ungauged sites using a two-stage resampling generalized ensemble framework.
Advances in Water Resources
, vol. 84
.
pp. 103-111.
DOI: 10.1016/j.advwatres.2015.07.019.
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