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Gholamreza Pazouki ORCID

The following bibliography contains all publications indexed in this database that are linked with this name as either author, editor or any other kind of contributor.

  1. Pazouki, Gholamreza / Tao, Zhong / Saeed, Nariman / Kang, Won-Hee (2023): Using artificial intelligence methods to predict the compressive strength of concrete containing sugarcane bagasse ash. In: Construction and Building Materials, v. 409 (December 2023).

    https://doi.org/10.1016/j.conbuildmat.2023.134047

  2. Pazouki, Gholamreza / Golafshani, Emadaldin Mohammadi / Behnood, Ali (2022): Predicting the compressive strength of self‐compacting concrete containing Class F fly ash using metaheuristic radial basis function neural network. In: Structural Concrete, v. 23, n. 2 (April 2022).

    https://doi.org/10.1002/suco.202000047

  3. Pazouki, Gholamreza / Pourghorban, Arash (2021): Anticipation of the compressive strength of steel fiber‐reinforced concrete by different types of artificial intelligence methods. In: Structural Concrete, v. 23, n. 6 (December 2021).

    https://doi.org/10.1002/suco.202100776

  4. Pazouki, Gholamreza / Pourghorban, Arash (2021): Using a hybrid artificial intelligence method for estimating the compressive strength of recycled aggregate self-compacting concrete. In: European Journal of Environmental and Civil Engineering, v. 26, n. 12 (June 2021).

    https://doi.org/10.1080/19648189.2021.1908915

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