Evaluation of the Adsorption Efficiency of Graphene Oxide Hydrogels in Wastewater Dye Removal: Application of Principal Component Analysis.

Mouhtady, Omar; Obeid, Emil; Abu-Samha, Mahmoud; Younes, Khaled; Murshid, Nimer

Mouhtady, Omar; Obeid, Emil; Abu-Samha, Mahmoud; Younes, Khaled; Murshid, Nimer.

Afiliación

Mouhtady O; College of Engineering and Technology, American University of the Middle East, Kuwait.
Obeid E; College of Engineering and Technology, American University of the Middle East, Kuwait.
Abu-Samha M; College of Engineering and Technology, American University of the Middle East, Kuwait.
Younes K; College of Engineering and Technology, American University of the Middle East, Kuwait.
Murshid N; College of Engineering and Technology, American University of the Middle East, Kuwait.

Gels ; 8(7)2022 Jul 18.

Article en En | MEDLINE | ID: mdl-35877532

Palabras clave

adsorption; artificial intelligence; dye; graphene oxide; hydrogel; hydrogel composites; machine learning; principal component analysis; sustainability; wastewater treatment

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Gels Año: 2022 Tipo del documento: Article País de afiliación: Kuwait