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Ahmad Alyaseen 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. Kashyap, Veena / Alyaseen, Ahmad / Poddar, Arunava (2024): Supervised and unsupervised machine learning techniques for predicting mechanical properties of coconut fiber reinforced concrete. In: Asian Journal of Civil Engineering, v. 25, n. 5 (April 2024).

    https://doi.org/10.1007/s42107-024-01018-8

  2. Alyaseen, Ahmad / Poddar, Arunava / Kumar, Navsal / Tajjour, Salwan / Siva Rama Prasad, C. Venkata / Alahmad, Hussain / Sihag, Parveen (2023): High-performance self-compacting concrete with recycled coarse aggregate: Soft-computing analysis of compressive strength. In: Journal of Building Engineering, v. 77 (October 2023).

    https://doi.org/10.1016/j.jobe.2023.107527

  3. Alyaseen, Ahmad / Poddar, Arunava / Kumar, Navsal / Haydar, Kamel / Khan, Azhar / Sihag, Parveen / Lee, Daeho / Kumar, Raj / Singh, Tej (2023): Influence of silica fume and Bacillus subtilis combination on concrete made with recycled concrete aggregate: Experimental investigation, economic analysis, and machine learning modeling. In: Case Studies in Construction Materials, v. 19 (December 2023).

    https://doi.org/10.1016/j.cscm.2023.e02638

  4. Alyaseen, Ahmad / Poddar, Arunava / Alahmad, Hussain / Kumar, Navsal / Sihag, Parveen (2023): High-performance self-compacting concrete with recycled coarse aggregate: comprehensive systematic review on mix design parameters. In: Journal of Structural Integrity and Maintenance, v. 8, n. 3 (3 July 2023).

    https://doi.org/10.1080/24705314.2023.2211850

  5. Alyaseen, Ahmad / Siva Rama Prasad, C. Venkata / Poddar, Arunava / Kumar, Navsal / Mostafa, Reham R. / Almohammed, Fadi / Sihag, Parveen (2023): Application of soft computing techniques for the prediction of splitting tensile strength in bacterial concrete. In: Journal of Structural Integrity and Maintenance, v. 8, n. 1 (2 January 2023).

    https://doi.org/10.1080/24705314.2022.2142900

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