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Integrating IoT and AI for Indoor Air Quality Assessment

BookHardcover
Ranking54710inTechnik
CHF137.00

Description

This book presents Internet of Things (IoT) solutions monitoring and assessing a variety of applications areas for indoor air quality (IAQ). This book synthesizes recent developments, presents case studies, and discusses new methods in the area of air quality monitoring, all the while addressing public health concerns. The authors discuss the issues and solutions, including IoT systems that can provide a continuous flow of data retrieved from cost-effective sensors that can be used in multiple applications.The authors present the leading IoT technologies, applications, algorithms, systems, and future scope in this multi-disciplinary domain.
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Details

ISBN/GTIN978-3-030-96485-6
Product TypeBook
BindingHardcover
Publishing date20/04/2022
Edition1st ed. 2022
SeriesInternet of Things
Pages188 pages
LanguageEnglish
SizeWidth 160 mm, Height 241 mm, Thickness 16 mm
Weight453 g
Article no.32523556
CatalogsBuchzentrum
Data source no.38779842
Product groupTechnik
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Author

Jagriti Saini was born in Himachal Pradesh, district Mandi in 1992. She holds a Diploma in Electronics and Communication Engineering (2010) from GPW Kandaghat and completed her B. Tech in Electronics and Communication Engineering (2013) from HPU. She received a Master's Degree in Electronics and Communication Engineering from the National Institute of Technical Teacher's Training and Research (NITTTR), Chandigarh (Panjab University), India (2017). She was awarded a Gold Medal for securing the highest percentile in the entire university during her Master's Degree. Jagriti is currently pursuing her Ph.D. in Electronics and Communication Engineering from the National Institute of Technical Teacher's Training and Research (NITTTR), Chandigarh (Panjab University). She is also receiving an INSPIRE fellowship from the Department of Science and Technology (DST), India for carrying out her research work. Her current research interests include Artificial Intelligence, Internet of Things, Environmental Monitoring, Indoor Air Quality Monitoring and Prediction, Healthcare Systems, e-Health, and Autonomous Systems. Her Ph.D. thesis entitled "Design and Development of Intelligent Indoor Air Quality Monitoring and Prediction System - Vayuveda" is mainly focused on developing cost-effective real-time monitoring and prediction system for indoor air quality management. She published more than 20 research papers in reputed journals regarding indoor air quality monitoring and prediction systems based on the Internet of Things and Artificial Intelligence.