Citation

Ahmad, Khubab and Khan, Muhammad Shahbaz and Ahmed, Fawad and Driss, Maha and Boulila, Wadii and Alazeb, Abdulwahab and Alsulami, Mohammad and Alshehri, Mohammed S. and Ghadi, Yazeed Yasin and Ahmad, Jawad (2024) Retraction Note: FireXnet: an explainable AI-based tailored deep learning model for wildfire detection on resource-constrained devices. Fire Ecology, 20 (1). ISSN 1933-9747

Text Retraction Note_ FireXnet_ an explainable AI-based tailored deep learning model for wildfire detection on resource-constrained devices.pdf - Published Version Restricted to Repository staff only Download (624kB)

Abstract

Te Editor-in-Chief has retracted this article. An investigation by the Publisher has found a number of articles, including this one, which share similar concerns, involving but not limited to, irregularities with respect to submission, authorship, and peer review. Te Editor-in-Chief therefore no longer has confdence in the results and conclusions presented in this article. All authors disagree to this retraction.

Item Type:	Article
Uncontrolled Keywords:	Deep learning
Subjects:	Q Science > Q Science (General) > Q300-390 Cybernetics
Divisions:	Faculty of Engineering and Technology (FET)
Depositing User:	Ms Nurul Iqtiani Ahmad
Date Deposited:	03 Sep 2024 00:40
Last Modified:	03 Sep 2024 00:40
URII:	http://shdl.mmu.edu.my/id/eprint/12940

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