Detection of forest fires and pollutant plume dispersion using IoT air quality sensors

Author:

Lertsinsrubtavee Adisorn,Kanabkaew Thongchai,Raksakietisak Sunee

Publisher

Elsevier BV

Subject

Health, Toxicology and Mutagenesis,Pollution,Toxicology,General Medicine

Reference40 articles.

1. Hybrid spatio-temporal deep learning framework for particulate matter (PM2.5) concentration forecasting;Abirami,2020

2. A review on forest fire detection techniques;Alkhatib;Int. J. Distributed Sens. Netw.,2014

3. Time series analysis and forecasting of air pollution particulate matter (PM2.5): an SARIMA and factor analysis approach;Bhatti;IEEE Access,2021

4. Publicly available low-cost sensor measurements for PM2.5 exposure modeling: guidance for monitor deployment and data selection;Bi;Environ. Int.,2022

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4. Detecting Atmosphere Contamination with IOT Devices;2024 International Conference on Emerging Systems and Intelligent Computing (ESIC);2024-02-09

5. Design of a Drone that Applies Multisensor Information for the Early Detection of Forest Fires;2023 3rd International Conference on Robotics, Automation and Artificial Intelligence (RAAI);2023-12-14

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