Document quand l'auteur est "Madaeni, Fatemehalsadat"

Centre Eau Terre Environnement

Madaeni, Fatemehalsadat (2023). Deep Learning Models and Their Interpretability for Ice-Jam Prediction in the Province of Quebec Thèse. Québec, Université du Québec, Institut national de la recherche scientifique, Doctorat en sciences de l'eau, 160 p.

Madaeni, Fatemehalsadat; Chokmani, Karem ORCID: https://orcid.org/0000-0003-0018-0761; Lhissou, Rachid; Homayouni, Saeid ORCID: https://orcid.org/0000-0002-0214-5356; Gauthier, Yves et Tolszczuk-Leclerc, Simon (2022). Convolutional neural network and long short-term memory models for ice-jam predictions. The Cryosphere , vol. 16 , nº 4. pp. 1447-1468. DOI: 10.5194/tc-16-1447-2022.

Madaeni, Fatemehalsadat; Lhissou, Rachid; Chokmani, Karem ORCID: https://orcid.org/0000-0003-0018-0761; Raymond, Sébastien et Gauthier, Yves (2020). Ice jam formation, breakup and prediction methods based on hydroclimatic data using artificial intelligence: A review. Cold Regions Science and Technology , vol. 174 . p. 103032. DOI: 10.1016/j.coldregions.2020.103032.