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Computing techniques for environmental research and public health

Jeon Gwanggil et Chehri Abdellah. (2021). Computing techniques for environmental research and public health. International Journal of Environmental Research and Public Health, 18, (18), e9851.

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URL officielle: http://dx.doi.org/doi:10.3390/ijerph18189851

Résumé

Human bodies are continuously generating information about our health. This information can be assessed by physiological tools that gauge bio-signals such as blood pressure, heart rate, and blood glucose. Computer scientists are obtaining knowledge on new technologies to manage these bio-signals using a range of equations and approaches. Currently, real-time monitoring, cloud computing, edge computing, and the Internet of Things are key technologies that can be applied in the environmental research and public health field. In light of these and many other challenges, a Special Issue entitled Computing Techniques for Environmental Research and Public Health has been dedicated to address the current status, challenges, and future research priorities for environmental research and public health. Starting from the above considerations, this Special Issue aims to investigate the impact of adopting advanced and innovative information computing-based algorithms in environmental research and public health field applications, including ones that take advantage of recent big data, compression, multichannel, sensor, and prediction techniques. This edition of the Special Issue is focused primarily on computing techniques for environmental research and public health applications with a particular emphasis on artificial intelligence and signal processing platforms. This issue is intended to provide a highly recognized international forum to present recent advances in the International Journal of Environmental Research and Public Health. We welcome both theoretical contributions as well as papers describing interesting applications. Papers were invited for this Special Issue considering aspects of this problem, including: • public health; • bio-signal processing; • the Internet of Things; • real-time monitoring; • cloud computing. After review, a total of seven papers have been accepted for publication in this issue.

Type de document:Article publié dans une revue avec comité d'évaluation
ISSN:1660-4601
Volume:18
Numéro:18
Pages:e9851
Version évaluée par les pairs:Oui
Date:2021
Identifiant unique:10.3390/ijerph18189851
Sujets:Sciences naturelles et génie
Sciences naturelles et génie > Génie
Sciences naturelles et génie > Génie > Génie informatique et génie logiciel
Sciences naturelles et génie > Sciences appliquées
Département, module, service et unité de recherche:Départements et modules > Département des sciences appliquées
Départements et modules > Département des sciences appliquées > Module d'ingénierie
Déposé le:30 nov. 2021 00:52
Dernière modification:30 nov. 2021 00:52
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