Open Access
Predicting soot formation in fossil fuels: A comparative study of regression and machine learning models
Publication type: Journal Article
Publication date: 2024-09-01
scimago Q1
wos Q2
SJR: 0.706
CiteScore: 6.0
Impact factor: 4.1
ISSN: 27725081
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Metrics
4
Total citations:
4
Citations from 2024:
3
(75%)
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GOST
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Lawal R. et al. Predicting soot formation in fossil fuels: A comparative study of regression and machine learning models // Digital Chemical Engineering. 2024. Vol. 12. p. 100172.
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Lawal R., Farooq W., Abdulraheem A., Abdul Jameel A. G. Predicting soot formation in fossil fuels: A comparative study of regression and machine learning models // Digital Chemical Engineering. 2024. Vol. 12. p. 100172.
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RIS
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TY - JOUR
DO - 10.1016/j.dche.2024.100172
UR - https://linkinghub.elsevier.com/retrieve/pii/S2772508124000346
TI - Predicting soot formation in fossil fuels: A comparative study of regression and machine learning models
T2 - Digital Chemical Engineering
AU - Lawal, Ridhwan
AU - Farooq, Wasif
AU - Abdulraheem, Abdulazeez
AU - Abdul Jameel, Abdul Gani
PY - 2024
DA - 2024/09/01
PB - Elsevier
SP - 100172
VL - 12
SN - 2772-5081
ER -
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BibTex (up to 50 authors)
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@article{2024_Lawal,
author = {Ridhwan Lawal and Wasif Farooq and Abdulazeez Abdulraheem and Abdul Gani Abdul Jameel},
title = {Predicting soot formation in fossil fuels: A comparative study of regression and machine learning models},
journal = {Digital Chemical Engineering},
year = {2024},
volume = {12},
publisher = {Elsevier},
month = {sep},
url = {https://linkinghub.elsevier.com/retrieve/pii/S2772508124000346},
pages = {100172},
doi = {10.1016/j.dche.2024.100172}
}