Feasibility of the Optimal Design of AI-Based Models Integrated with Ensemble Machine Learning Paradigms for Modeling the Yields of Light Olefins in Crude-to-Chemical Conversions.

Usman, A G; Tanimu, Abdulkadir; Abba, S I; Isik, Selin; Aitani, Abdullah; Alasiri, Hassan

Usman, A G; Tanimu, Abdulkadir; Abba, S I; Isik, Selin; Aitani, Abdullah; Alasiri, Hassan.

Afiliación

Usman AG; Department of Analytical Chemistry, Faculty of Pharmacy, Near East University, TRNC, Mersin 10, 99138 Nicosia, Turkey.
Tanimu A; Operational Research Centre in Healthcare, Near East University, 99138 Nicosia, Turkish Republic of Northern Cyprus.
Abba SI; Center for Refining and Advanced Chemicals, Research Institute, King Fahd University of Petroleum and Minerals, Dhahran 31261, Saudi Arabia.
Isik S; Interdisciplinary Research Center for Membrane and Water Security, King Fahd University of Petroleum and Minerals, Dhahran 31261, Saudi Arabia.
Aitani A; Department of Analytical Chemistry, Faculty of Pharmacy, Near East University, TRNC, Mersin 10, 99138 Nicosia, Turkey.
Alasiri H; Center for Refining and Advanced Chemicals, Research Institute, King Fahd University of Petroleum and Minerals, Dhahran 31261, Saudi Arabia.

ACS Omega ; 8(43): 40517-40531, 2023 Oct 31.

Article en En | MEDLINE | ID: mdl-37929092

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: ACS Omega Año: 2023 Tipo del documento: Article País de afiliación: Turquía Pais de publicación: Estados Unidos

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