Application of Unsupervised Machine Learning for the Evaluation of Aerogels’ Efficiency towards Ion Removal—A Principal Component Analysis (PCA) Approach

Application of Unsupervised Machine Learning for the Evaluation of Aerogels’ Efficiency towards Ion Removal—A Principal Component Analysis (PCA) Approach

Water scarcity is a global problem affecting millions of people. It can lead to severe economic, social, and environmental consequences. It can also have several impacts on agriculture, industry, and households, leading to a decrease in human quality of life. To address water scarcity, governments,...

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Bibliographic Details
Main Authors: Khaled Younes, Yahya Kharboutly, Mayssara Antar, Hamdi Chaouk, Emil Obeid, Omar Mouhtady, Mahmoud Abu-samha, Jalal Halwani, Nimer Murshid
Format: Article
Language:English
Published: MDPI AG 2023-04-01
Series:Gels
Subjects:
ion removal
machine learning
aerogels
principal component analysis
water treatment
Online Access:https://www.mdpi.com/2310-2861/9/4/304

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