A Machine Learning-Based Platform for Monitoring and Prediction of Hazardous Gases in Rural and Remote Areas
The emissions of pollutants and radioactive gases are the main causes of several environmental disasters that may cause premature deaths. The significant impact of these gases on public health is a major concern, especially in remote and rural regions. In these areas, access to security and health s...
Saved in:
Main Authors: | Edgar F. Ladeira, Bruno M. C. Silva |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2025-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/10855430/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
ENVIRONMENTAL TEMPERATURE AND HUMIDITY MONITORING SYSTEM USING RASPBERRY PI 4 AND THINGSPEACK
by: DRAGOS-ALEXANDRU ANDRIOAIA, et al.
Published: (2022-01-01) -
Research and application of remote update technology of IoT terminal
by: Min WEI, et al.
Published: (2018-10-01) -
Research and application of micropower safety monitoring IoT system for mine
by: Da ZHANG, et al.
Published: (2020-02-01) -
CYBER SECURITY ANALYSIS OF IOT DEVICES TRANSMITTING DATA IN THE THINGSPEAK PLATFORM CLOUD
by: DRAGOS-ALEXANDRU ANDRIOAIA
Published: (2022-10-01) -
Arquitectura de IoT para el Monitoreo de Emisiones de Gases Contaminantes de Vehículos y su Validación a través de Machine Learning
by: Washington Torres Guin, et al.
Published: (2024-10-01)