Automated Fire Extinguishing System Using a Deep Learning Based Framework
Author
Abstract
Suggested Citation
Download full text from publisher
References listed on IDEAS
- Xiaofei Lin & Shouxin Song & Huaiyuan Zhai & Pengwei Yuan & Mingli Chen, 2020. "Using catastrophe theory to analyze subway fire accidents," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 11(1), pages 223-235, February.
- Aleksandr Smolin & Andrei Yamaev & Anastasia Ingacheva & Tatyana Shevtsova & Dmitriy Polevoy & Marina Chukalina & Dmitry Nikolaev & Vladimir Arlazarov, 2022. "Reprojection-Based Numerical Measure of Robustness for CT Reconstruction Neural Network Algorithms," Mathematics, MDPI, vol. 10(22), pages 1-17, November.
- Malka N. Halgamuge & Eshan Daminda & Ampalavanapillai Nirmalathas, 2020. "Best optimizer selection for predicting bushfire occurrences using deep learning," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 103(1), pages 845-860, August.
- Jorge Pereira & Jérôme Mendes & Jorge S. S. Júnior & Carlos Viegas & João Ruivo Paulo, 2022. "A Review of Genetic Algorithm Approaches for Wildfire Spread Prediction Calibration," Mathematics, MDPI, vol. 10(3), pages 1-19, January.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Esmaeil Mohammadian Bishe & Hossein Afshin & Bijan Farhanieh, 2023. "Modified Quasi-Physical Grassland Fire Spread Model: Sensitivity Analysis," Sustainability, MDPI, vol. 15(18), pages 1-23, September.
- Taorong Jia & Lixiao Yao & Guoqing Yang & Qi He, 2022. "A Short-Term Power Load Forecasting Method of Based on the CEEMDAN-MVO-GRU," Sustainability, MDPI, vol. 14(24), pages 1-18, December.
- Wang, Yangpeng & Li, Shuxiang & Lee, Kangkuen & Tam, Hwayaw & Qu, Yuanju & Huang, Jingyin & Chu, Xianghua, 2023. "Accident risk tensor-specific covariant model for railway accident risk assessment and prediction," Reliability Engineering and System Safety, Elsevier, vol. 232(C).
- Monica Aureliana Petcu & Liliana Ionescu-Feleaga & Bogdan-Ștefan Ionescu & Dumitru-Florin Moise, 2023. "A Decade for the Mathematics : Bibliometric Analysis of Mathematical Modeling in Economics, Ecology, and Environment," Mathematics, MDPI, vol. 11(2), pages 1-30, January.
- Fan, Yuchen & Liu, Xin & Zhang, Chaoqun & Li, Chi & Li, Xinying & Wang, Heyang, 2024. "Dynamic prediction of boiler NOx emission with graph convolutional gated recurrent unit model optimized by genetic algorithm," Energy, Elsevier, vol. 294(C).
- Bárbara de Matos & Rodrigo Salles & Jérôme Mendes & Joana R. Gouveia & António J. Baptista & Pedro Moura, 2022. "A Review of Energy and Sustainability KPI-Based Monitoring and Control Methodologies on WWTPs," Mathematics, MDPI, vol. 11(1), pages 1-22, December.
More about this item
Keywords
convolution neural networks; fire detection; surveillance; deep learning; computer vision;All these keywords.
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jmathe:v:11:y:2023:i:3:p:608-:d:1046868. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.