Cloud Assisted IOT Enabled Forest Fire Detection System-Reference-Cited by-同舟云学术

Cloud Assisted IOT Enabled Forest Fire Detection System

Published:2022-12-08 Issue: Volume: Page:
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Container-title:2022 International Conference on Power, Energy, Control and Transmission Systems (ICPECTS)
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Author:

K Vishal Vaseekaran¹,P Kishore¹,S Sreevarshan¹,S Saranya¹,G Sudha¹,Subbiah Sankari²

Affiliation:

1. Sri Sairam Engineering College,Department of Electronics and Communication Engineering,Chennai,India

2. Sri Sairam Engineering College,Department of Information Technology,Chennai,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10046661/10046421/10047712.pdf?arnumber=10047712

Reference10 articles.

1. Spectral analysis of forest fire noise for early detection using wireless sensor networks

2. Forest Monitoring System for Early Fire Detection Based on Convolutional Neural Network and UAV imagery

3. Smoke detection for early forest fire in aerial photography based on GMM background and wavelet energy

4. Fully Smart fire detection and prevention in the authorized forests;kavitha;2021 International Conference on Artificial Intelligence and Smart Systems (ICAIS),2021

5. Firoxio: Forest fire detection and alerting system;mallah;MELECON 2014 - 2014 17th IEEE Mediterranean Electrotechnical Conference,2014

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1. Forest Fire identification: Harnessing Internet of Things (IoT) and Artificial Intelligence;2024 1st International Conference on Cognitive, Green and Ubiquitous Computing (IC-CGU);2024-03-01

2. Analysis of methods and technologies used to predict and detect fires in forestry;2023 21st International Conference on Emerging eLearning Technologies and Applications (ICETA);2023-10-26