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Published in 2021 at "Chemometrics and Intelligent Laboratory Systems"
DOI: 10.1016/j.chemolab.2020.104220
Abstract: ABSTRACT The purpose of this study is to develop a reliable predictive model using machine learning algorithms that will predict asphaltene adsorption on MgO nanoparticles. Three machine learning (ML) algorithms namely gradient boosting machine (GBM),…
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Keywords:
mgo;
adsorption;
asphaltene adsorption;
mgo nanoparticles ... See more keywords