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...
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| Autors principals: | , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Politeknik Negeri Batam
2025-10-01
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| Col·lecció: | Journal of Applied Informatics and Computing |
| Matèries: | |
| Accés en línia: | https://jurnal.polibatam.ac.id/index.php/JAIC/article/view/10895 |
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