Optimising air quality prediction in smart cities with hybrid particle swarm optimization‐long‐short term memory‐recurrent neural network model

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...

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Bibliographic Details
Main Authors: Surjeet Dalal, Umesh Kumar Lilhore, Neetu Faujdar, Sarita Samiya, Vivek Jaglan, Roobaea Alroobaea, Momina Shaheen, Faizan Ahmad
Format: Article
Language:English
Published: Wiley 2024-09-01
Series:IET Smart Cities
Subjects:
city indexes, metrics, comparisons and rankings
energy conservation
intelligent control
smart cities
smart cities applications
smart cities standards
Online Access:https://doi.org/10.1049/smc2.12080
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https://doi.org/10.1049/smc2.12080

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