Application of unsupervised machine learning for the evaluation of aerogels’ efficiency towards ion removal—a principal component analysis (pca) approach

HIGHLIGHTS

  • who: Khaled Younes and collaborators from the College of Engineering and Technology, American University of the Middle East, Egaila, Kuwait have published the paper: Application of Unsupervised Machine Learning for the Evaluation of Aerogelsu2019 Efficiency towards Ion Removalu2014A Principal Component Analysis (PCA) Approach, in the Journal: Gels 2023, 304 of /2023/
  • what: The aim of this study is to apply PCA on the data found in a previous study by Paul and Ahankari , applying PCA targets searching for any hidden layers between the physical/chemical properties, from one side, and adsorption parameters, from another side . . .

     

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