Gaussian Process Regression and Machine Learning Methods for Carbon-Based Material Adsorption

Gaussian Process Regression and Machine Learning Methods for Carbon-Based Material Adsorption

Antibiotics have received a lot of attention as promising contaminants because of their ecotoxicological and long-term chemical stability in the atmosphere. Antibiotic adsorption on carbon-based materials (CBMs) such as charcoal and activated carbon has been identified as mainly effective for treati...

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Bibliographic Details
Main Authors: Manar Ahmed Hamza, Maha M. Althobaiti, Fahd N. Al-Wesabi, Rana Alabdan, Hany Mahgoub, Anwer Mustafa Hilal, Abdelwahed Motwakel, Mesfer Al Duhayyim
Format: Article
Language:English
Published: SAGE Publishing 2022-01-01
Series:Adsorption Science & Technology
Online Access:http://dx.doi.org/10.1155/2022/3901608
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