Forest Fire Detection and Notification Method Based on AI and IoT Approaches
Author:
Affiliation:
1. Department of Computer Engineering, Gachon University, Sujeong-Gu, Seongnam-Si 461-701, Republic of Korea
2. “DIGITAL FINANCE” Center for Incubation and Acceleration, Tashkent Institute of Finance, Tashkent 100000, Uzbekistan
Abstract
Funder
Korea Agency for Technology and Standards
Gachon University research fund
Publisher
MDPI AG
Subject
Computer Networks and Communications
Link
https://www.mdpi.com/1999-5903/15/2/61/pdf
Reference46 articles.
1. (2022, November 10). Korea Forest Service 2019, Korea Forest Service Website, Korean Government, Available online: https://english.forest.go.kr.
2. (2022, November 10). Nairobi 2022, Unified Nation Enviroment Programme Website. Available online: https://www.unep.org.
3. (2021, August 10). Korean Statistical Information Service. Available online: http://kosis.kr.
4. Mukhiddinov, M., Muminov, A., and Cho, J. (2022). Improved Classification Approach for Fruits and Vegetables Freshness Based on Deep Learning. Sensors, 22.
5. A deep learning approach to identify smoke plumes in satellite imagery in near-real time for health risk communication;Larsen;J. Expo. Sci. Environ. Epidemiol.,2021
Cited by 16 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. Development of Image Processing and AI Model for Drone Based Environmental Monitoring System;Journal of Machine and Computing;2024-01-05
2. A Forest Fire Recognition Method Based on Modified Deep CNN Model;Forests;2024-01-05
3. A new flame‐based colour space for efficient fire detection;IET Image Processing;2023-12-29
4. Fault-tolerant scheduling of graph-based loads on fog/cloud environments with multi-level queues and LSTM-based workload prediction;Computer Networks;2023-11
5. Forest Fire Detection using WSOA Based Geodesic Distance Encoding Segmentation Model in Smart IoT;2023 International Conference on Evolutionary Algorithms and Soft Computing Techniques (EASCT);2023-10-20
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