Fire Detection Effect of Data Size Using on Deeplearning Techniques
| dc.contributor.author | M. Sc. Student Wijdan Yunes | |
| dc.contributor.author | Prof. Dr. Khalil Ibrahem Alsaif | |
| dc.date.accessioned | 2026-01-02T12:08:16Z | |
| dc.date.issued | 2022-05-12 | |
| dc.description.abstract | Fires 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.format | application/pdf | |
| dc.identifier.uri | https://geniusjournals.org/index.php/ejet/article/view/1348 | |
| dc.identifier.uri | https://asianeducationindex.com/handle/123456789/78481 | |
| dc.language.iso | eng | |
| dc.publisher | Genius Journals | |
| dc.relation | https://geniusjournals.org/index.php/ejet/article/view/1348/1191 | |
| dc.rights | https://creativecommons.org/licenses/by-nc/4.0 | |
| dc.source | Eurasian Journal of Engineering and Technology; Vol. 6 (2022): EJET; 42-53 | |
| dc.source | 2795-7640 | |
| dc.subject | based | |
| dc.subject | smoke | |
| dc.subject | fire | |
| dc.subject | lives | |
| dc.title | Fire Detection Effect of Data Size Using on Deeplearning Techniques | |
| dc.type | info:eu-repo/semantics/article | |
| dc.type | info:eu-repo/semantics/publishedVersion | |
| dc.type | Peer-reviewed Article |
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