Artificial intelligence-enabled context-aware air quality prediction for smart cities
Metropolitan areas around the world are experiencing a surge in air pollution levels due to
different anthropogenic causes, making accurate air quality prediction a critical task for …
different anthropogenic causes, making accurate air quality prediction a critical task for …
Artificial intelligence-assisted air quality monitoring for smart city management
Background The environment has been significantly impacted by rapid urbanization, leading
to a need for changes in climate change and pollution indicators. The 4IR offers a potential …
to a need for changes in climate change and pollution indicators. The 4IR offers a potential …
Adaptive deep learning-based air quality prediction model using the most relevant spatial-temporal relations
Air pollution has become an extremely serious problem, with particulate matter having a
significantly greater impact on human health than other contaminants. The small diameter of …
significantly greater impact on human health than other contaminants. The small diameter of …
Indoor air quality prediction systems for smart environments: A systematic review
Air quality is a critical matter of concern in terms of the impact on public health and well-
being. Although the consequences of poor air quality are more severe in developing …
being. Although the consequences of poor air quality are more severe in developing …
Comparative analysis of machine learning techniques for predicting air quality in smart cities
Dealing with air pollution presents a major environmental challenge in smart city
environments. Real-time monitoring of pollution data enables local authorities to analyze the …
environments. Real-time monitoring of pollution data enables local authorities to analyze the …
Spatiotemporal air quality forecasting and health risk assessment over smart city of NEOM
Modeling and predicting air pollution concentrations is important to provide early warnings
about harmful atmospheric substances. However, uncertainty in the dynamic process and …
about harmful atmospheric substances. However, uncertainty in the dynamic process and …
A novel deep learning approach to predict air quality index
In accordance with the World Health Organization's instruction, the air quality in Bangladesh
is considered perilous. A productive and precise air quality index (AQI) is a must and one of …
is considered perilous. A productive and precise air quality index (AQI) is a must and one of …
Air-pollution prediction in smart city, deep learning approach
Over the past few decades, due to human activities, industrialization, and urbanization, air
pollution has become a life-threatening factor in many countries around the world. Among …
pollution has become a life-threatening factor in many countries around the world. Among …
Air quality prediction in smart cities using machine learning technologies based on sensor data: a review
The influence of machine learning technologies is rapidly increasing and penetrating almost
in every field, and air pollution prediction is not being excluded from those fields. This paper …
in every field, and air pollution prediction is not being excluded from those fields. This paper …
A machine learning model for air quality prediction for smart cities
U Mahalingam, K Elangovan, H Dobhal… - 2019 International …, 2019 - ieeexplore.ieee.org
Air quality of a certain region can be used as one of the major factor determining pollution
index also how well the city's industries and population is managed. Urban air quality …
index also how well the city's industries and population is managed. Urban air quality …