Development of data driven models to accurately estimate density of fatty acid ethyl esters

Development of data driven models to accurately estimate density of fatty acid ethyl esters

Abstract Fatty acid ethyl esters (FAEEs) are widely used in biofuels, pharmaceuticals, and lubricants, offering an eco-friendly alternative due to their biodegradability and renewable nature, contributing to environmental sustainability. The objective of this study is to construct advanced predictiv...

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Bibliographic Details
Main Authors: Walid Abdelfattah, Munthar Kadhim Abosaoda, Hardik Doshi, H. S. Shreenidhi, Manoranjan Parhi, Devendra Singh, Prabhjot Singh, Abdolali Yarahmadi Kandahari
Format: Article
Language:English
Published: Nature Portfolio 2025-08-01
Series:Scientific Reports
Subjects:
Machine learning
Monte carlo outlier detection algorithm
Fatty acid ethyl esters
Density prediction
SHAP analysis
Online Access:https://doi.org/10.1038/s41598-025-16547-8
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https://doi.org/10.1038/s41598-025-16547-8

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