A hybrid LBP-CNN with YOLO-v5-based fire and smoke detection model in various environmental conditions for environmental sustainability in smart city
Author:
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s11356-024-32023-8.pdf
Reference39 articles.
1. Cao Y, Yang F, Tang Q, Lu X (2019) An attention-enhanced bidirectional LSTM for early forest fire smoke recognition. IEEE Access 7:154732–154742. https://doi.org/10.1109/ACCESS.2019.2946712
2. Chen L, Xue W (2021) Image based tiny fire detection in a grid environment using human geometric constrains. Proceedings - 2021 3rd International Conference on Electrical Engineering and Control Technologies. CEECT 2021:298–303. https://doi.org/10.1109/CEECT53198.2021.9672331
3. Chen K, Cheng Y, Bai H, Mou C, Zhang Y (2019) Research on image fire detection based on support vector machine. 2019 9th International Conference on Fire Science and Fire Protection Engineering. ICFSFPE 2019(1):51578464. https://doi.org/10.1109/ICFSFPE48751.2019.9055795
4. Chen X, Hopkins B, Wang H, O’Neill L, Afghah F, Razi A, Fulé P, Coen J, Rowell E, Watts A (2022) Wildland fire detection and monitoring using a drone-collected RGB/IR image dataset. IEEE Access 10:121301–121317. https://doi.org/10.1109/ACCESS.2022.3222805
5. Cheon J, Lee J, Lee I, Chae Y, Yoo Y, Han G (2009) A single-chip CMOS smoke and temperature sensor for an intelligent fire detector. IEEE Sens J 9(8):914–921. https://doi.org/10.1109/JSEN.2009.2024703
Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. ESFD-YOLOv8n: Early Smoke and Fire Detection Method Based on an Improved YOLOv8n Model;Fire;2024-08-27
2. ProtienCNN‐BLSTM: An efficient deep neural network with amino acid embedding‐based model of protein sequence classification and biological analysis;Computational Intelligence;2024-08
3. Real‐time fire and smoke detection with transfer learning based on cloud‐edge collaborative architecture;IET Image Processing;2024-07-22
4. The Multi-Scale Depth-Separable Convolution Network for Fire and Smoke Detection;Combustion Science and Technology;2024-07-05
5. An efficient deep learning architecture for effective fire detection in smart surveillance;Image and Vision Computing;2024-05
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3