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Die folgende Bibliografie enthält alle in dieser Datenbank indizierten Veröffentlichungen, die mit diesem Namen als Autor, Herausgeber oder anderweitig Beitragenden verbunden sind.

  1. Bypour, Maryam / Mahmoudian, Alireza / Tajik, Nima / Mohammadzadeh Taleshi, Mostafa / Mirghaderi, Seyed Rasoul / Yekrangnia, Mohammad (2024): Shear capacity assessment of perforated steel plate shear wall based on the combination of verified finite element analysis, machine learning, and gene expression programming. In: Asian Journal of Civil Engineering, v. 25, n. 7 (Juli 2024).

    https://doi.org/10.1007/s42107-024-01115-8

  2. Mohammadzadeh Taleshi, Mostafa / Tajik, Nima / Mahmoudian, Alireza / Yekrangnia, Mohammad (2024): Prediction of pull-out behavior of timber glued-in glass fiber reinforced polymer and steel rods under various environmental conditions based on ANN and GEP models. In: Case Studies in Construction Materials, v. 20 (Juli 2024).

    https://doi.org/10.1016/j.cscm.2023.e02842

  3. Tajik, Nima / Mirghaderi, Seyed Rasoul / Asghari, Abazar / Hamidia, Mohammadjavad (2024): Experimental and numerical study on weld strengths of built-up steel box columns. In: Journal of Constructional Steel Research, v. 213 (Februar 2024).

    https://doi.org/10.1016/j.jcsr.2023.108362

  4. Mahmoudian, Alireza / Tajik, Nima / Mohammadzadeh Taleshi, Mostafa / Shakiba, Milad / Yekrangnia, Mohammad (2023): Ensemble machine learning-based approach with genetic algorithm optimization for predicting bond strength and failure mode in concrete-GFRP mat anchorage interface. In: Structures, v. 57 (November 2023).

    https://doi.org/10.1016/j.istruc.2023.105173

  5. Tajik, Nima / Mahmoudian, Alireza / Mohammadzadeh Taleshi, Mostafa / Yekrangnia, Mohammad (2023): Explainable XGBoost machine learning model for prediction of ultimate load and free end slip of GFRP rod glued-in timber joints through a pull-out test under various harsh environmental conditions. In: Asian Journal of Civil Engineering, v. 25, n. 1 (Juli 2023).

    https://doi.org/10.1007/s42107-023-00764-5

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