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Internet of things for indoor air qu...

Dutta, Maitreyee.

Internet of things for indoor air quality monitoring

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Internet of things for indoor air quality monitoringby Jagriti Saini, Maitreyee Dutta, Goncalo Marques.
作者:	Saini, Jagriti.
其他作者:	Dutta, Maitreyee.
出版者:	Cham :Springer International Publishing :2021.
面頁冊數:	xiii, 82 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Indoor air quality.
電子資源:	https://doi.org/10.1007/978-3-030-82216-3
ISBN:	9783030822163$q(electronic bk.)

Internet of things for indoor air quality monitoring
Saini, Jagriti.

Internet of things for indoor air quality monitoring[electronic resource] /by Jagriti Saini, Maitreyee Dutta, Goncalo Marques. - Cham :Springer International Publishing :2021. - xiii, 82 p. :ill., digital ;24 cm. - SpringerBriefs in applied sciences and technology. Computational intelligence,2625-3704. - SpringerBriefs in applied sciences and technology.Computational intelligence..

This book provides a synthesis for using IoT for indoor air quality assessment. It will help upcoming researchers to understand the gaps in the literature while identifying the new challenges and opportunities to develop healthy living spaces. On the other hand, this book provides insights about integrating IoT with artificial intelligence to design smart buildings with enhanced air quality. Consequently, this book aims to present future scope for carrying out potential research activities in this domain. Over the past few years, the Internet of Things (IoT) is proven as the most revolutionizing invention in the field of engineering and design. This technology has wide scope in automation and real-time monitoring. Indoor air quality assessment is one of the most important applications of IoT which helps in the development of smart and healthy living spaces. Numerous methods have been developed for air quality assessment to ensure enhanced public health and well-being. The combination of sensors, microcontrollers, and communication technologies can be used to handle the massive amount of field data to access the condition of building air quality.

ISBN: 9783030822163$q(electronic bk.)

Standard No.: 10.1007/978-3-030-82216-3doiSubjects--Topical Terms:

709171
Indoor air quality.

LC Class. No.: TD883.17 / .S35 2021

Dewey Class. No.: 628.53

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