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...
محفوظ في:
| المؤلف الرئيسي: | Saad Hameed (6488738) (author) |
|---|---|
| مؤلفون آخرون: | Ashadul Islam (19438027) (author), Kashif Ahmad (12592762) (author), Samir Brahim Belhaouari (9427347) (author), Junaid Qadir (16494902) (author), Ala Al-Fuqaha (4434340) (author) |
| منشور في: |
2023
|
| الموضوعات: | |
| الوسوم: |
إضافة وسم
لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!
|
مواد مشابهة
-
Using artificial intelligence to improve public health: a narrative review
حسب: David B. Olawade (19325911)
منشور في: (2023) -
Risk Assessment of the Impact of Heavy Metals in Urban Traffic Dust on Human Health
حسب: Nima Mahmoud (19365472)
منشور في: (2023) -
Road Traffic Injury as a Major Public Health Issue in the Kingdom of Saudi Arabia: A Review
حسب: Erica DeNicola (19738066)
منشور في: (2016) -
Air pollution burden of disease over highly populated states in the Middle East
حسب: Rima J. Isaifan (8350056)
منشور في: (2023) -
Editorial: Recent advances in multimodal artificial intelligence for disease diagnosis, prognosis, and prevention
حسب: Hazrat Ali (421019)
منشور في: (2024)