Dear Colleagues,

Globally, air pollution is a major environmental challenge that affects the health and well-being of millions of people. More than seven million premature deaths are estimated to be caused by poor air quality every year. A variety of factors cause poor air quality, including industrial activities, transportation, and energy production. Pollutants released from these activities can cause respiratory problems, heart disease, and cancer. It is necessary to use advanced modeling and data analysis tools to identify pollution sources, estimate emissions, and inform policymakers. In recent years, artificial intelligence approaches have revolutionized air quality research, providing new insights into how air pollution affects human health and the environment. This Special Issue of the journal Atmosphere is dedicated to "Revolutionizing Air Quality Research: Unlocking New Insights through Cutting-Edge Artificial Intelligence Techniques". We seek submissions of original research articles, reviews, and perspectives following international hotspot-based air quality research and artificial intelligence/machine learning approaches. The scope of this issue mainly includes but is not limited to:

• Novel artificial intelligence/machine learning algorithms for air quality modeling, forecasting, and data analysis;
• The integration of machine learning with air quality monitoring data to identify sources of pollution and estimate emissions;
• Machine-learning-based approaches for air quality management and policymaking;
• Applications of machine learning in assessing the health impacts of air pollution;
• Deep learning, ensemble learning, and transfer learning approaches in air quality research;
• Visualization and interpretation of machine learning results for air quality research.

Dr. Khalid Mehmood
Prof. Dr. Jaroslaw Krzywanski
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Atmosphere is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

• artificial intelligence
• air quality
• predictive modeling
• deep learning
• ensemble learning
• big data
• source identification
• environmental health