Prediction of the cold flow properties of biodiesel using the fame distribution and machine learning techniques
Fecha de publicación:
2024
Versión del editor:
Citación:
Journal of Molecular Liquids, 400, (2024); doi:10.1016/j.molliq.2024.124555
ISSN:
Patrocinado por:
Ministry of Science, Innovation and Universities (Spain); State Investigation Agency [PID2022-136656NB-I00]; Foundation for the Promotion of Applied Scientific Research and Technology in Asturias (Spain); Guillermo Diez- Valbuena at the University of Oviedo (Spain) [SV-PA-21- AYUD/2021/50987]; Government of the Principality of Asturias under Severo Ochoa predoctoral program [BP22-153]
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