A Study on Machine Learning Methods’ Application for Dye Adsorption Prediction onto Agricultural Waste Activated Carbon

A Study on Machine Learning Methods’ Application for Dye Adsorption Prediction onto Agricultural Waste Activated Carbon

The adsorption of dyes using 39 adsorbents (16 kinds of agro-wastes) were modeled using random forest (RF), decision tree (DT), and gradient boosting (GB) models based on 350 sets of adsorption experimental data. In addition, the correlation between variables and their importance was applied. After...

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Bibliographic Details
Main Authors: Seyedehmaryam Moosavi, Otilia Manta, Yaser A. El-Badry, Enas E. Hussein, Zeinhom M. El-Bahy, Noor fariza Binti Mohd Fawzi, Jaunius Urbonavičius, Seyed Mohammad Hossein Moosavi
Format: Article
Language:English
Published: MDPI AG 2021-10-01
Series:Nanomaterials
Subjects:
machine learning
wastewater treatment
dye adsorption
agricultural waste
activated carbon
Online Access:https://www.mdpi.com/2079-4991/11/10/2734

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