Predicting compressive strength of hollow concrete prisms using machine learning techniques and explainable artificial intelligence (XAI).

Bin Inqiad W, Dumitrascu EV, Dobre RA, Khan NM, Hammood AH, Henedy SN, Khan RMA

DOI: 10.1016/j.heliyon.2024.e36841
Published: 2024 Sep 15
Container: Heliyon
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1016/j.heliyon.2024.e36841,
  title = {Predicting compressive strength of hollow concrete prisms using machine learning techniques and explainable artificial intelligence (XAI).},
  author = {Bin Inqiad W and Dumitrascu EV and Dobre RA and Khan NM and Hammood AH and Henedy SN and Khan RMA},
  year = {2024},
  journal = {Heliyon},
  doi = {10.1016/j.heliyon.2024.e36841},
  url = {https://doi.org/10.1016/j.heliyon.2024.e36841}
}

RIS

TY  - JOUR
TI  - Predicting compressive strength of hollow concrete prisms using machine learning techniques and explainable artificial intelligence (XAI).
AU  - Bin Inqiad W
AU  - Dumitrascu EV
AU  - Dobre RA
AU  - Khan NM
AU  - Hammood AH
AU  - Henedy SN
AU  - Khan RMA
PY  - 2024
JO  - Heliyon
DO  - 10.1016/j.heliyon.2024.e36841
UR  - https://doi.org/10.1016/j.heliyon.2024.e36841
ER  -

APA

W, B. I., EV, D., RA, D., NM, K., AH, H., SN, H., & RMA, K. (2024). Predicting compressive strength of hollow concrete prisms using machine learning techniques and explainable artificial intelligence (XAI).. Heliyon. https://doi.org/10.1016/j.heliyon.2024.e36841

Source records

pubmed · retrieved 2026-09-26T14:31:03.815Z