Gaussian Mixture-Based Data Augmentation Improves QSAR Prediction of Corrosion Inhibition Efficiency

Predicting corrosion inhibition efficiency IE (%) is often hindered by small, heterogeneous datasets. This study proposes a Gaussian mixture–based data augmentation pipeline to strengthen QSAR generalization under data scarcity. A curated set of 70 drug-like compounds with 14 physicochemical and qua...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής

Κύριοι συγγραφείς:	Darnell Ignasius, Muhamad Akrom, Setyo Budi
Μορφή:	Artigo
Γλώσσα:	Inglês
Έκδοση:	Politeknik Negeri Batam 2025-10-01
Σειρά:	Journal of Applied Informatics and Computing
Θέματα:	corrosion inhibition data augmentation gaussian mixture model machine learning small data
Διαθέσιμο Online:	https://jurnal.polibatam.ac.id/index.php/JAIC/article/view/10895
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