Artificial Intelligence and Indoor Air Quality

Dear Colleagues,

Air pollution brings serious health and quality of life implications and it poses one of the greatest environmental risks for human health, as well as for all living beings and our planet’s sustainability. It can potentially cause numerous respiratory illnesses, such as asthma, chronic obstructive pulmonary disease, allergies, lung cancer, as well as cardiac issues.

Air quality monitoring systems are essential to help us to maintain a good quality of life and, since the overall population spends approximately 90% of their time inside buildings, monitoring air quality in indoor environments is crucial. Additionally, indoor pollution levels can be 2–5 times higher than in outdoor environments, according to the United States Environmental Protection Agency (EPA).

To address indoor air quality and its underlying effects on human health more effectively, the use of artificial intelligence, as well as efficient and smart communication techniques, are essential to accomplish this task in an efficient, unobtrusive, and seamless way. Artificial intelligence algorithms can be implemented to develop models and classifiers of indoor air conditions, advise, and forecast indoor air quality, relating it to the physiological health status of an individual.

This Special Issue is intended to gather applications and studies that involve indoor air quality monitoring, smart and robust communication techniques to interconnect the whole network, analysis, and prediction using a variety of artificial intelligence algorithms, as well as studies regarding the effects of indoor environmental quality on human health status and the development of smart tailored environments that consider indoor air quality system implementations, combined with artificial intelligence and efficient communication systems.

Prof. Francisco Cercas
Dr. Sancho Oliveira
Dr. Octavian Postolache
Guest Editors

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