TY - GEN N2 - This book presents Internet of Things (IoT) based monitoring and assessment solutions for a variety of application areas on indoor air quality (IAQ). This book synthesizes recent developments, presents case studies, and discusses new methods in air quality monitoring 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 for multiple applications. The authors present the leading IoT technologies, applications, algorithms, systems, and future scope in this multi-disciplinary domain. Addressing applications of IoT specifically for IAQ monitoring; Focuses on applications of IoT for IAQ to address emerging health issues that are demanding attention from researchers; Includes solutions to issues caused by bioaerosols and air pollutants and how to address climate adaptation and health risk. DO - 10.1007/978-3-030-96486-3 DO - doi AB - This book presents Internet of Things (IoT) based monitoring and assessment solutions for a variety of application areas on indoor air quality (IAQ). This book synthesizes recent developments, presents case studies, and discusses new methods in air quality monitoring 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 for multiple applications. The authors present the leading IoT technologies, applications, algorithms, systems, and future scope in this multi-disciplinary domain. Addressing applications of IoT specifically for IAQ monitoring; Focuses on applications of IoT for IAQ to address emerging health issues that are demanding attention from researchers; Includes solutions to issues caused by bioaerosols and air pollutants and how to address climate adaptation and health risk. T1 - Integrating IoT and AI for indoor air quality assessment/ DA - 2022. CY - Cham, Switzerland : AU - Saini, Jagriti. AU - Dutta, Maitreyee. AU - Marques, Gonçalo. AU - Halgamuge, Malka N. CN - TD883.17 PB - Springer, PP - Cham, Switzerland : PY - 2022. N1 - Includes index. ID - 1446092 KW - Indoor air quality KW - Internet of things. KW - Artificial intelligence. KW - Air intérieur KW - Internet des objets. KW - Intelligence artificielle. SN - 9783030964863 SN - 3030964868 TI - Integrating IoT and AI for indoor air quality assessment/ LK - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-96486-3 UR - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-96486-3 ER -