Fractal and chaotic map-enhanced grey wolf optimization for robust fire detection in deep convolutional neural networks.
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| Title: | Fractal and chaotic map-enhanced grey wolf optimization for robust fire detection in deep convolutional neural networks. |
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| Authors: | Bouteraa Y; Department of Computer Engineering, College of Computer Engineering and Sciences, Prince Sattam Bin Abdulaziz University, 11942, Al-Kharj, Saudi Arabia. yassine.bouteraa@isbs.usf.tn.; Advanced Technologies For Medicine and Signals (ATMS), ENIS, University of Sfax, Sfax, Tunisia. yassine.bouteraa@isbs.usf.tn., Khishe M; Departemant of Electronic Engineering, Imam Khomeini Naval University of Nowshahr, Nowshahr, Iran. m_khishe@alumni.iust.ac.ir.; Applied Science Research Center, Applied Science Private University, Amman, Jordan. m_khishe@alumni.iust.ac.ir.; Department of Biosciences, Saveetha School of Engineering. Saveetha Institute of Medical and Technical Sciences, Chennai, 602105, India. m_khishe@alumni.iust.ac.ir. |
| Source: | Scientific reports [Sci Rep] 2025 Apr 03; Vol. 15 (1), pp. 11495. Date of Electronic Publication: 2025 Apr 03. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE; PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 2045-2322 |
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| DOI: | 10.1038/s41598-025-95519-4 |
