Air Pollution Exposure Monitoring using Portable Low-cost Air Quality Sensors
Pranvera Kortoçi,Naser Hossein Motlagh,Martha A. Zaidan,Pak Lun Fung,Samu Varjonen,Andrew Rebeiro-Hargrave,Jarkko V. Niemi,Petteri Nurmi,Tareq Hussein,Tuukka Petäjä,Markku Kulmala,Sasu Tarkoma +11 more
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This article is published in Smart Health.The article was published on 2021-11-01 and is currently open access. It has received 19 citations till now. The article focuses on the topics: Air pollution & Pollutant.read more
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Adoption of Environmental Information Chatbot Services Based on the Internet of Educational Things in Smart Schools: Structural Equation Modeling Approach
TL;DR: In this article , an integrated framework for smart schools developing an environmental information chatbot service (ENICS) and various users' continued behavioral intentions toward the chatbot system based on the unified theory of acceptance and use of technology model to support health and safety in universities.
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A survey of COVID-19 in public transportation: Transmission risk, mitigation and prevention
TL;DR: A comprehensive survey of the current research on COVID-19 transmission mechanisms and how they relate to public transport is presented in this paper , where social distancing and control on passenger density are found to be the most effective mechanisms.
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Transformational IoT sensing for air pollution and thermal exposures
TL;DR: In this paper , the authors reviewed and summarized the literature on IoT environmental sensing on urban, building, and human scales, presenting the first integrated assessment of IoT solutions from the data convergence perspective on all three scales.
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A Radical Safety Measure for Identifying Environmental Changes Using Machine Learning Algorithms
Pravin R. Kshirsagar,Hariprasath Manoharan,S. Selvarajan,Sara Althubiti,Fayadh Alenezi,Gautam Srivastava,Jerry Chun-Wei Lin +6 more
TL;DR: In this paper , the authors used machine learning algorithms to forecast the surroundings if any pollution level exceeds the corresponding limit, where a computer-aided procedure is employed in the process of developing technological aspects to estimate harmful element levels with 99.99% accuracy.
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Air Quality Sensors Systems as Tools to Support Guidance in Athletics Stadia for Elite and Recreational Athletes
Mar Viana,Kostas Karatzas,A. Arvanitis,Cristina Reche,Miguel Escribano,Edurne Ibarrola-Ulzurrun,Paolo Emilio Adami,Frédéric Garrandes,Stéphane Bermon +8 more
TL;DR: In this article , the authors evaluate whether air quality sensors can describe ambient air quality in Athletics stadia, and demonstrate that the interpretation of hourly pollutant patterns, in combination with self-organising maps (SOMs), enabled the interpretation and prediction of probable emission sources (e.g., vehicular traffic) and of atmospheric processes.
References
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A review on the human health impact of airborne particulate matter
TL;DR: The basic evidence on the health effects of particulate matter is summarized and an in-depth analysis is provided to address the implications for policy-makers so that more stringent strategies can be implemented to reduce air pollution and its health effects.
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Exposure to traffic and the onset of myocardial infarction.
Annette Peters,Stephanie von Klot,Margit Heier,Ines Trentinaglia,Allmut Hörmann,H.-Erich Wichmann,Hannelore Löwel +6 more
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Health monitoring in the home of the future
TL;DR: In this paper, the authors present some usage models for health monitoring and discuss the technical requirements for the health-monitoring system based on wearable and ambient sensors, which measure health-related data in daily environments of the users or patients.
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Personal exposure to airborne particles and metals: Results from the Particle TEAM Study in Riverside, California
TL;DR: The PTEAM Study as mentioned in this paper was the first large-scale probability-based study of personal exposure to particles, which was carried out by the Research Triangle Institute (RTI) and the Harvard University School of Public Health (HSPH).