Optimising air quality prediction in smart cities with hybrid particle swarm optimization‐long‐short term memory‐recurrent neural network model
Abstract In smart cities, air pollution is a critical issue that affects individual health and harms the environment. The air pollution prediction can supply important information to all relevant parties to take appropriate initiatives. Air quality prediction is a hot area of research. The existing...
Main Authors: | , , , , , , , |
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Format: | Article |
Language: | English |
Published: |
Wiley
2024-09-01
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Series: | IET Smart Cities |
Subjects: | |
Online Access: | https://doi.org/10.1049/smc2.12080 |