Integrating IoT and AI for Indoor Air Quality Assessment
dc.contributor.author | Saini, Jagriti ed. | |
dc.contributor.author | Khan, Tahmeena | |
dc.date.accessioned | 2023-09-01T06:24:12Z | |
dc.date.available | 2023-09-01T06:24:12Z | |
dc.date.issued | 2022 | |
dc.description | Chapter 10: Health Risk Assessment Associated with Air Pollution Through Technological Interventions: A Futuristic Approach by Tahmeena Khan | en_US |
dc.description.abstract | This chapter is a state-of-the-art review that elaborates the attempts and technological interventions and advancements made to address the health risk assessment associated with air pollution and strategies adopted for personalized treatment to avert exacerbation and refractory symptoms. Technological advancement and its involvement may revolutionize the air pollution prediction, exposure, and risk assessment research in the coming time, if they meet the logisti-cal and data science challenges along with the integration of health impact and related risks’ assessment which is linked to the exposure of air pollution. | en_US |
dc.identifier.isbn | 978-981-4998-28-4 | |
dc.identifier.uri | 10.2174/97898149982771210101 | |
dc.identifier.uri | http://136.232.12.194:4000/handle/123456789/554 | |
dc.language.iso | en | en_US |
dc.publisher | Springer | en_US |
dc.subject | Chemistry | en_US |
dc.title | Integrating IoT and AI for Indoor Air Quality Assessment | en_US |
dc.type | Book chapter | en_US |
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