Please use this identifier to cite or link to this item: http://192.168.9.248:8080/jspui/handle/123456789/554
Title: Integrating IoT and AI for Indoor Air Quality Assessment
Authors: Saini, Jagriti ed.
Khan, Tahmeena
Keywords: Chemistry
Issue Date: 2022
Publisher: Springer
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.
Description: Chapter 10: Health Risk Assessment Associated with Air Pollution Through Technological Interventions: A Futuristic Approach by Tahmeena Khan
URI: 10.2174/97898149982771210101
http://192.168.9.248:8080/jspui/handle/123456789/554
ISBN: 978-981-4998-28-4
Appears in Collections:Books/Book Chapters/Edited Books

Files in This Item:
File Description SizeFormat 
Health Risk Assessment Chapter- Dr Tahmeena Khan (2021-22).pdfBook Chapter1.97 MBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.