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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. Tariq, Jawad / Hu, Kui / Gillani, Syed Tafheem Abbas / Chang, Hengyu / Ashraf, Muhammad Waqas / Khan, Adnan: Enhancing the predictive accuracy of recycled aggregate concrete’s strength using machine learning and statistical approaches: a review. Dans: Asian Journal of Civil Engineering.

    https://doi.org/10.1007/s42107-024-01192-9

  2. Khan, Adnan / Huyan, Ju / Zhang, Runhua / Zhu, Yu / Zhang, Weiguang / Ying, Gao / Ahmad, Kamal Nasir / Shah, Syed Khaliq (2023): An ensemble tree-based prediction of Marshall mix design parameters and resilient modulus in stabilized base materials. Dans: Construction and Building Materials, v. 401 (octobre 2023).

    https://doi.org/10.1016/j.conbuildmat.2023.132833

  3. Khan, Adnan / Sikandar, Muhammad Ali / Bashir, Muhammad Tariq / Shah, Syed Azmat Ali / Zamin, Bakht / Rehman, Khalid (2022): Assessment for utilization of tobacco stem ash as a potential supplementary cementitious material in cement-based composites. Dans: Journal of Building Engineering, v. 53 (août 2022).

    https://doi.org/10.1016/j.jobe.2022.104531

  4. Zhang, Weiguang / Khan, Adnan / Huyan, Ju / Zhong, Jingtao / Peng, Tianyi / Cheng, Hanglin (2021): Predicting Marshall parameters of flexible pavement using support vector machine and genetic programming. Dans: Construction and Building Materials, v. 306 (novembre 2021).

    https://doi.org/10.1016/j.conbuildmat.2021.124924

  5. Zhang, Zhongjun / Zhang, Yufeng / Khan, Adnan (2020): Thermal comfort of people in a super high-rise building with central air-conditioning system in the hot-humid area of China. Dans: Energy and Buildings, v. 209 (février 2020).

    https://doi.org/10.1016/j.enbuild.2019.109727

  6. Zhang, Zhongjun / Zhang, Yufeng / Khan, Adnan (2019): Thermal comfort of people from two types of air-conditioned buildings - Evidences from chamber experiments. Dans: Building and Environment, v. 162 (septembre 2019).

    https://doi.org/10.1016/j.buildenv.2019.106287

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