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Publicité

Fazel Khayatian ORCID

La bibliographie suivante contient toutes les publications répertoriées dans la base de données qui sont reliées à ce nom en tant qu'auteur, éditeur ou collaborateur.

  1. Akbarpoor, Sareh / Rezazadeh, Mohammadali / Ghiassi, Bahman / Khayatian, Fazel / Poologanathan, Keerthan / Sefat, Honeyeh Ramezan / Corradi, Marco (2024): A new bond-slip model for NSM FRP systems using cement-based adhesives through artificial neural networks (ANN). Dans: Construction and Building Materials, v. 427 (mai 2024).

    https://doi.org/10.1016/j.conbuildmat.2024.136034

  2. Zhan, Haoxiang / Mahyuddin, Norhayati / Sulaiman, Raha / Khayatian, Fazel (2023): Phase change material (PCM) integrations into buildings in hot climates with simulation access for energy performance and thermal comfort: A review. Dans: Construction and Building Materials, v. 397 (septembre 2023).

    https://doi.org/10.1016/j.conbuildmat.2023.132312

  3. Fu, Yu / Zhou, Tongyu / Lun, Isaac / Khayatian, Fazel / Deng, Wu / Su, Weiguang (2021): A data-driven approach for window opening predictions in non-air-conditioned buildings. Dans: Intelligent Buildings International, v. 14, n. 3 (juillet 2021).

    https://doi.org/10.1080/17508975.2021.1963651

  4. Khayatian, Fazel / Nagy, Zoltan / Bollinger, Andrew (2021): Using generative adversarial networks to evaluate robustness of reinforcement learning agents against uncertainties. Dans: Energy and Buildings, v. 251 (novembre 2021).

    https://doi.org/10.1016/j.enbuild.2021.111334

  5. Dall'O', Giuliano / Bruni, Elisa / Panza, Angela / Sarto, Luca / Khayatian, Fazel (2017): Evaluation of cities’ smartness by means of indicators for small and medium cities and communities: A methodology for Northern Italy. Dans: Sustainable Cities and Society, v. 34 (octobre 2017).

    https://doi.org/10.1016/j.scs.2017.06.021

  6. Xiao, Chunze / Khayatian, Fazel / Dall'O', Giuliano (2020): Unsupervised learning for feature projection: Extracting patterns from multidimensional building measurements. Dans: Energy and Buildings, v. 224 (octobre 2020).

    https://doi.org/10.1016/j.enbuild.2020.110228

  7. Khayatian, Fazel / Sarto, Luca / Dall'O', Giuliano (2016): Application of neural networks for evaluating energy performance certificates of residential buildings. Dans: Energy and Buildings, v. 125 (août 2016).

    https://doi.org/10.1016/j.enbuild.2016.04.067

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