Cargando…
Novel Video Surveillance-Based Fire and Smoke Classification Using Attentional Feature Map in Capsule Networks
A fire is an extraordinary event that can damage property and have a notable effect on people’s lives. However, the early detection of smoke and fire has been identified as a challenge in many recent studies. Therefore, different solutions have been proposed to approach the timely detection of fire...
Autores principales: | Shakhnoza, Muksimova, Sabina, Umirzakova, Sevara, Mardieva, Cho, Young-Im |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8747306/ https://www.ncbi.nlm.nih.gov/pubmed/35009641 http://dx.doi.org/10.3390/s22010098 |
Ejemplares similares
-
Enhancing the Super-Resolution of Medical Images: Introducing the Deep Residual Feature Distillation Channel Attention Network for Optimized Performance and Efficiency
por: Umirzakova, Sabina, et al.
Publicado: (2023) -
Endoscopic Image Classification Based on Explainable Deep Learning
por: Mukhtorov, Doniyorjon, et al.
Publicado: (2023) -
A Video Based Fire Smoke Detection Using Robust AdaBoost
por: Wu, Xuehui, et al.
Publicado: (2018) -
Edge‐based effective active appearance model for real‐time wrinkle detection
por: Sabina, Umirzakova, et al.
Publicado: (2020) -
Real-Time Fire Smoke Detection Method Combining a Self-Attention Mechanism and Radial Multi-Scale Feature Connection
por: Jin, Chuan, et al.
Publicado: (2023)