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Mohsin Ali Khan ORCID

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

  1. Khan, Mohsin Ali / Usman, Mian Muhammad / Alsharari, Fahad / Yosri, Ahmed M. / Aslam, Fahid / Alzara, Majed / Nabil, Marwa (2023): Metaheuristic artificial intelligence (AI): Mechanical properties of electronic waste concrete. In: Construction and Building Materials, v. 394 (August 2023).

    https://doi.org/10.1016/j.conbuildmat.2023.132012

  2. Althoey, Fadi / Akhter, Muhammad Naveed / Nagra, Zohaib Sattar / Awan, Hamad Hassan / Alanazi, Fayez / Khan, Mohsin Ali / Javed, Muhammad Faisal / Eldin, Sayed M. / Özkılıç, Yasin Onuralp (2023): Prediction models for marshall mix parameters using bio-inspired genetic programming and deep machine learning approaches: A comparative study. In: Case Studies in Construction Materials, v. 18 (Juli 2023).

    https://doi.org/10.1016/j.cscm.2022.e01774

  3. Asghar, Raheel / Khan, Mohsin Ali / Alyousef, Rayed / Javed, Muhammad Faisal / Ali, Mujahid (2023): Promoting the green Construction: Scientometric review on the mechanical and structural performance of geopolymer concrete. In: Construction and Building Materials, v. 368 (März 2023).

    https://doi.org/10.1016/j.conbuildmat.2023.130502

  4. Althoey, Fadi / Amin, Muhammad Nasir / Khan, Kaffayatullah / Usman, Mian Muhammad / Khan, Mohsin Ali / Javed, Muhammad Faisal / Sabri, Mohanad Muayad Sabri / Alrowais, Raid / Maglad, Ahmed M. (2022): Machine learning based computational approach for crack width detection of self-healing concrete. In: Case Studies in Construction Materials, v. 17 (Dezember 2022).

    https://doi.org/10.1016/j.cscm.2022.e01610

  5. Ashfaq, Mohammed / Iqbal, Mudassir / Khan, Mohsin Ali / Jalal, Fazal E. / Alzara, Majed / Hamad, M. / Yosri, Ahmed. M. (2022): GEP tree-based computational AI approach to evaluate unconfined compression strength characteristics of Fly ash treated alkali contaminated soils. In: Case Studies in Construction Materials, v. 17 (Dezember 2022).

    https://doi.org/10.1016/j.cscm.2022.e01446

  6. Khan, Mohsin Ali / Memon, Shazim Ali / Farooq, Furqan / Javed, Muhammad Faisal / Aslam, Fahid / Alyousef, Rayed (2021): Compressive Strength of Fly-Ash-Based Geopolymer Concrete by Gene Expression Programming and Random Forest. In: Advances in Civil Engineering, v. 2021 (Januar 2021).

    https://doi.org/10.1155/2021/6618407

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