Crossmark

Multi-objective optimization and predictive analytics of strength and embodied impacts of CDW-based geopolymers using various machine learning approaches

Crossref DOI link: https://doi.org/10.1007/s00521-025-11191-9

Published Online: 2025-04-16

Published Print: 2025-06

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Mahmoodi, Obaid https://orcid.org/0000-0001-9453-8394
Siad, Hocine

Lachemi, Mohamed

Şahmaran, Mustafa
Funding

Funding for this research was provided by:

Natural Sciences and Engineering Research Council of Canada

Türkiye Bilimsel ve Teknolojik Araştırma Kurumu (119M630)

Türkiye Bilimsel ve Teknolojik Araştırma Kurumu (119N030)
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Text and Data Mining valid from 2025-04-16

Version of Record valid from 2025-04-16
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Article History

Received: 18 December 2024

Accepted: 19 March 2025

First Online: 16 April 2025

Declarations

:

: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

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