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Artificial Intelligence and Indoor Air Quality

A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Pollution Prevention, Mitigation and Sustainability".

Deadline for manuscript submissions: closed (30 June 2022) | Viewed by 8003

Special Issue Editors


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Guest Editor
ISCTE-IUL and Instituto de Telecomunicações, Lisboa, Portugal
Interests: intelligent communications; wireless and wired general communications for smart environments; Internet of Things; healthcare; air quality monitoring
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
ISCTE-IUL and Instituto de Telecomunicações, Lisboa, Portugal
Interests: autonomous robots; multirobot systems; swarm intelligence; evolutionary computation; communication in large-scale systems and complex systems

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Guest Editor
Instituto de Telecomunicações, Universidade de Aveiro Campus Universitário de, R. Santiago, 3810-193 Aveiro, Portugal
Interests: internet of medical things; remote sensing solutions for healthcare; embedded AI for healthcare; smart sensors; virtual reality and mixed reality for healthcare
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

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

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. Sustainability is an international peer-reviewed open access semimonthly 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.

Keywords

  • indoor air quality
  • smart sensors, internet of things
  • smart environments
  • healthcare physiological parameter monitoring
  • artificial intelligence
  • deep learning
  • efficient and robust communication systems

Published Papers (1 paper)

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Research

43 pages, 8185 KiB  
Article
A Review on Indoor Environment Quality of Indian School Classrooms
by Nishant Raj Kapoor, Ashok Kumar, Tabish Alam, Anuj Kumar, Kishor S. Kulkarni and Paolo Blecich
Sustainability 2021, 13(21), 11855; https://doi.org/10.3390/su132111855 - 27 Oct 2021
Cited by 29 | Viewed by 6479
Abstract
The progress of Indoor Environmental Quality (IEQ) research in school buildings has increased profusely in the last two decades and the interest in this area is still growing worldwide. IEQ in classrooms impacts the comfort, health, and productivity of students as well as [...] Read more.
The progress of Indoor Environmental Quality (IEQ) research in school buildings has increased profusely in the last two decades and the interest in this area is still growing worldwide. IEQ in classrooms impacts the comfort, health, and productivity of students as well as teachers. This article systematically discusses IEQ parameters related to studies conducted in Indian school classrooms during the last fifteen years. Real-time research studies conducted on Indoor Air Quality (IAQ), Thermal Comfort (TC), Acoustic Comfort (AcC), and Visual Comfort (VC) in Indian school classrooms from July 2006 to March 2021 are considered to gain insight into the existing research methodologies. This review article indicates that IEQ parameter studies in Indian school buildings are tortuous, strewn, inadequate, and unorganized. There is no literature review available on studies conducted on IEQ parameters in Indian school classrooms. The results infer that in India, there is no well-established method to assess the indoor environmental condition of classrooms in school buildings to date. Indian school classrooms are bleak and in dire need of energy-efficient modifications that maintain good IEQ for better teaching and learning outcomes. The prevailing COVID-19 Pandemic, Artificial Intelligence (AI), National Education Policy (NEP), Sick Building Syndrome (SBS), Internet of Things (IoT), and Green Schools (GS) are also discussed to effectively link existing conditions with the future of IEQ research in Indian school classrooms. Full article
(This article belongs to the Special Issue Artificial Intelligence and Indoor Air Quality)
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