Fire Detection Effect of Data Size Using on Deeplearning Techniques

dc.contributor.authorM. Sc. Student Wijdan Yunes
dc.contributor.authorProf. Dr. Khalil Ibrahem Alsaif
dc.date.accessioned2026-01-02T12:08:16Z
dc.date.issued2022-05-12
dc.description.abstractFires are considered one of the unfortunate phenomena that cause disasters in the environment, and it also represents a great threat to lives and human safety, especially when this fire is not detected by sensor-based fire detection systems. Therefore, equipping those places with cheap and effective sensors is very useful in fire detection speed. Image-based smoke and fire detection systems that use surveillance cameras have been designed, as vision-based fire detection systems benefit from three basic characteristics of fire: color, movement and shape (the shape of fire).
dc.formatapplication/pdf
dc.identifier.urihttps://geniusjournals.org/index.php/ejet/article/view/1348
dc.identifier.urihttps://asianeducationindex.com/handle/123456789/78481
dc.language.isoeng
dc.publisherGenius Journals
dc.relationhttps://geniusjournals.org/index.php/ejet/article/view/1348/1191
dc.rightshttps://creativecommons.org/licenses/by-nc/4.0
dc.sourceEurasian Journal of Engineering and Technology; Vol. 6 (2022): EJET; 42-53
dc.source2795-7640
dc.subjectbased
dc.subjectsmoke
dc.subjectfire
dc.subjectlives
dc.titleFire Detection Effect of Data Size Using on Deeplearning Techniques
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/publishedVersion
dc.typePeer-reviewed Article

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