Deep learning based multimodal urban air quality prediction and traffic analytics

Deep learning based multimodal urban air quality prediction and traffic analytics

<p dir="ltr">Urban activities, particularly vehicle traffic, are contributing significantly to environmental pollution with detrimental effects on public health. The ability to anticipate air quality in advance is critical for public authorities and the general public to plan and man...

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Bibliographic Details
Main Author: Saad Hameed (6488738) (author)
Other Authors: Ashadul Islam (19438027) (author), Kashif Ahmad (12592762) (author), Samir Brahim Belhaouari (9427347) (author), Junaid Qadir (16494902) (author), Ala Al-Fuqaha (4434340) (author)
Published: 2023
Subjects:
Environmental sciences
Environmental management
Health sciences
Public health
Information and computing sciences
Artificial intelligence
Machine learning
Air Quality Prediction
Environmental Pollution
Vehicle Traffic
Public Health
Artificial Intelligence (AI)
Sensor Technology
Multi-modal Framework
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