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Authors
Davoodi, Shadfar https://orcid.org/0000-0003-1733-1677
Thanh, Hung Vo https://orcid.org/0000-0002-7094-9380
Vanovskiy, Vladimir https://orcid.org/0000-0003-3317-9572
Wood, David A. https://orcid.org/0000-0003-3202-4069
Al-Shargabi, Mohammed https://orcid.org/0000-0001-7063-9756
Mehrad, Mohammad https://orcid.org/0000-0002-3623-2474
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Article History
Received: 17 February 2025
Accepted: 1 October 2025
First Online: 3 November 2025
Declarations
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: 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.
: A Supplementary Information file provides a detailed description of the applied machine learning and optimization algorithms. It also presents the performance of the developed models in both training and validation phases, demonstrating the superiority of hybrid machine learning-optimization approaches over standalone methods through key metrics. Additionally, a Supplementary Data (Excel) file is provided, containing the optimized hyperparameter values applied in all developed standalone and hybrid machine learning models.
