A multimodal framework for Forest fire detection and monitoring
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-022-13043-3.pdf
Reference40 articles.
1. Alfyani R (2020) Comparison of Naïve Bayes and KNN Algorithms to understand Hepatitis,” in 2020 International Seminar on Application for Technology of Information and Communication (iSemantic), pp. 196–201
2. Altintas I (2020) Building cyberinfrastructure for translational impact: The WIFIRE example,” J Comput Sci., 52, p. 101210, 2021. https://doi.org/10.1016/j.jocs.2020.101210.
3. Ashutosh DK, Satendra (2014) Forest fire disaster managament National Institute of Disaster Management
4. Brun C, Margalef T, Cortés A, Sikora A (2014) Enhancing multi-model forest fire spread prediction by exploiting multi-core parallelism. J Supercomput 70(2):721–732. https://doi.org/10.1007/s11227-014-1168-z
5. Cruz H, Eckert M, Meneses J, Martínez JF (2016) Efficient forest fire detection index for application in Unmanned Aerial Systems (UASs). Sensors (Switzerland), 16(6), https://doi.org/10.3390/s16060893.
Cited by 5 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. 3ENB2: end-to-end EfficientNetB2 model with online data augmentation for fire detection;Signal, Image and Video Processing;2024-06-28
2. Forest Fire Prediction Using Multi-Source Deep Learning;Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering;2024
3. Multimodal Deep Learning with Boosted Trees for Edge Inference;2023 IEEE International Conference on Data Mining Workshops (ICDMW);2023-12-04
4. A Survey of Video Surveillance Systems in Smart City;Electronics;2023-08-23
5. A comprehensive comparison study of traditional classifiers and deep neural networks for forest fire detection;Cluster Computing;2023-04-29
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