A review on emerging artificial intelligence (AI) techniques for air pollution forecasting: Fundamentals, application and performance
Accurate air quality forecasting is critical for systematic pollution control as well as public
health and wellness. Most of the traditional forecasting techniques have shown inconsistent …
health and wellness. Most of the traditional forecasting techniques have shown inconsistent …
Artificial intelligence technologies for forecasting air pollution and human health: a narrative review
Air pollution is a major issue all over the world because of its impacts on the environment
and human beings. The present review discussed the sources and impacts of pollutants on …
and human beings. The present review discussed the sources and impacts of pollutants on …
Air quality forecasting with artificial intelligence techniques: A scientometric and content analysis
Artificial intelligence (AI) techniques have substantially changed the research paradigm in
the field of air quality forecasting due to their powerful performance. Considering the …
the field of air quality forecasting due to their powerful performance. Considering the …
Pollutant specific optimal deep learning and statistical model building for air quality forecasting
Poor air quality is becoming a critical environmental concern in different countries over the
last several years. Most of the air pollutants have serious consequences on human health …
last several years. Most of the air pollutants have serious consequences on human health …
A systematic literature review of deep learning neural network for time series air quality forecasting
Rapid progress of industrial development, urbanization and traffic has caused air quality
reduction that negatively affects human health and environmental sustainability, especially …
reduction that negatively affects human health and environmental sustainability, especially …
Air pollution forecasting application based on deep learning model and optimization algorithm
Air pollution monitoring is constantly increasing, giving more and more attention to its
consequences on human health. Since Nitrogen dioxide (NO 2) and sulfur dioxide (SO 2) …
consequences on human health. Since Nitrogen dioxide (NO 2) and sulfur dioxide (SO 2) …
Air pollution forecasts: An overview
L Bai, J Wang, X Ma, H Lu - … journal of environmental research and public …, 2018 - mdpi.com
Air pollution is defined as a phenomenon harmful to the ecological system and the normal
conditions of human existence and development when some substances in the atmosphere …
conditions of human existence and development when some substances in the atmosphere …
An ensemble learning based hybrid model and framework for air pollution forecasting
As advance of economy and industry, the impact of air pollution has gradually gained
attention. In order to predict air quality, there were many studies that exploited various …
attention. In order to predict air quality, there were many studies that exploited various …
Air quality index prediction using an effective hybrid deep learning model
Environmentalism has become an intrinsic part of everyday life. One of the greatest
challenge to the environment's long-term existence is the air pollution. Delhi, the capital of …
challenge to the environment's long-term existence is the air pollution. Delhi, the capital of …
Deep learning architecture for air quality predictions
With the rapid development of urbanization and industrialization, many developing countries
are suffering from heavy air pollution. Governments and citizens have expressed increasing …
are suffering from heavy air pollution. Governments and citizens have expressed increasing …