A Deep Learning based Air Quality Prediction Technique Using Influencing Pollutants of Neighboring Locations in Smart City
The level of air pollution in smart cities plays a critical role in the community’s health and quality of life. Thus, air pollution forecasting would be beneficial and would guide citizens in avoiding exposure to dangerous emissions. The air health of a place can be diagnosed by close...
Main Authors: | Banani Ghose, Zeenat Rehena, Leonidas Anthopoulos |
---|---|
Format: | Article |
Language: | English |
Published: |
Graz University of Technology
2022-08-01
|
Series: | Journal of Universal Computer Science |
Subjects: | |
Online Access: | https://lib.jucs.org/article/78884/download/pdf/ |
Similar Items
-
HYBRID MODEL AND FRAMEWORK FOR PREDICTING AIR POLLUTANTS IN SMART CITIES
by: Qutaiba Humadi Mohammed, et al.
Published: (2024-05-01) -
Smart Cities as Hubs: A Use Case in Public School Buildings
by: Ioannis Nikolaou, et al.
Published: (2024-02-01) -
Air Quality Prediction in Smart Cities Using Machine Learning Technologies Based on Sensor Data: A Review
by: Ditsuhi Iskandaryan, et al.
Published: (2020-04-01) -
IoT-Based Waste Segregation with Location Tracking and Air Quality Monitoring for Smart Cities
by: Abhishek Kadalagere Lingaraju, et al.
Published: (2023-05-01) -
Assessing the Effectiveness of Air Quality Improvements in Polish Cities Aspiring to Be Sustainably Smart
by: Izabela Jonek-Kowalska
Published: (2023-02-01)