Erratum: Correction: Highly accurate prediction of flammability limits of chemical compounds using novel integrated hybrid models (PloS one (2019) 14 11 (e0224807))

Mohanad El-Harbawi; Brahim Belhaouari Samir; Lahssen El Blidi; Ouahid Ben Ghanem

doi:10.1371/journal.pone.0303936

Erratum: Correction: Highly accurate prediction of flammability limits of chemical compounds using novel integrated hybrid models (PloS one (2019) 14 11 (e0224807))

Mohanad El-Harbawi, Brahim Belhaouari Samir, Lahssen El Blidi, Ouahid Ben Ghanem

CSE Information & Computing Technology

Research output: Contribution to journal › Comment/debate

Abstract

[This corrects the article DOI: 10.1371/journal.pone.0224807.].

Original language	English
Pages (from-to)	e0303936
Journal	PLoS ONE
Volume	19
Issue number	5
DOIs	https://doi.org/10.1371/journal.pone.0303936
Publication status	Published - 15 May 2024

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10.1371/journal.pone.0303936

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title = "Erratum: Correction: Highly accurate prediction of flammability limits of chemical compounds using novel integrated hybrid models (PloS one (2019) 14 11 (e0224807))",

abstract = "[This corrects the article DOI: 10.1371/journal.pone.0224807.].",

author = "Mohanad El-Harbawi and Samir, \{Brahim Belhaouari\} and Blidi, \{Lahssen El\} and Ghanem, \{Ouahid Ben\}",

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T2 - Correction: Highly accurate prediction of flammability limits of chemical compounds using novel integrated hybrid models (PloS one (2019) 14 11 (e0224807))

AU - El-Harbawi, Mohanad

AU - Samir, Brahim Belhaouari

AU - Blidi, Lahssen El

AU - Ghanem, Ouahid Ben

N1 - Publisher Copyright: Copyright: © 2024 El-Harbawi et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

PY - 2024/5/15

Y1 - 2024/5/15

N2 - [This corrects the article DOI: 10.1371/journal.pone.0224807.].

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Erratum: Correction: Highly accurate prediction of flammability limits of chemical compounds using novel integrated hybrid models (PloS one (2019) 14 11 (e0224807))

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