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Polynomial Integrated PLS Regression for Predicting Corrosion Inhibition Efficiency of Ionic Liquids

Corrosion degrades and weakens metal surfaces, leading to structural failure and significant safety hazards across various sectors. Data driven machine learning offers a rapid, cost-effective alternative to the expensive and time consuming traditional experimental methods by predicting inhibitor per...

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Autors principals: Petrus Praditya Aswangga, Muhammad Akrom
Format: Artigo
Idioma:Inglês
Publicat: Politeknik Negeri Batam 2025-08-01
Col·lecció:Journal of Applied Informatics and Computing
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Accés en línia:https://jurnal.polibatam.ac.id/index.php/JAIC/article/view/10158
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