An Efficient Smoke Detection Algorithm Based on Deep Belief Network Classifier Using Energy and Intensity Features
- DOI
- 10.3390/electronics9091390
- Published
- 2020-08-27
- Container
- Electronics
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.3390/electronics9091390,
title = {An Efficient Smoke Detection Algorithm Based on Deep Belief Network Classifier Using Energy and Intensity Features},
author = {Rabeb Kaabi and Moez Bouchouicha and Aymen Mouelhi and Mounir Sayadi and Eric Moreau},
year = {2020},
journal = {Electronics},
doi = {10.3390/electronics9091390},
url = {https://doi.org/10.3390/electronics9091390}
}RIS
TY - JOUR TI - An Efficient Smoke Detection Algorithm Based on Deep Belief Network Classifier Using Energy and Intensity Features AU - Rabeb Kaabi AU - Moez Bouchouicha AU - Aymen Mouelhi AU - Mounir Sayadi AU - Eric Moreau PY - 2020 JO - Electronics DO - 10.3390/electronics9091390 UR - https://doi.org/10.3390/electronics9091390 ER -
APA
Kaabi, R., Bouchouicha, M., Mouelhi, A., Sayadi, M., & Moreau, E. (2020). An Efficient Smoke Detection Algorithm Based on Deep Belief Network Classifier Using Energy and Intensity Features. Electronics. https://doi.org/10.3390/electronics9091390
Source records
- hal · retrieved 2026-11-10T06:30:12.962Z