Image-based air quality estimation using convolutional neural network optimized by genetic algorithms: A multi-dataset approach
Air pollution poses significant threats to human health and the environment, making effective monitoring increasingly essential. Traditional methods using fixed monitoring stations have challenges related to high costs and limited coverage. This paper proposes a new approach using convolutional neur...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | en |
| Published: |
The Science and Information (SAI) Organization Limited
2025
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| Subjects: | |
| Online Access: | https://umpir.ump.edu.my/id/eprint/47283/1/Image-based%20air%20quality%20estimation%20using%20convolutional%20neural%20network.pdf https://doi.org/10.14569/IJACSA.2025.01603113 https://umpir.ump.edu.my/id/eprint/47283/ |
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