@article{1446092,
      recid = {1446092},
      author = {Saini, Jagriti. and Dutta, Maitreyee. and Marques,  Gonçalo. and Halgamuge, Malka N.},
      title = {Integrating IoT and AI for indoor air quality assessment/},
      publisher = {Springer,},
      address = {Cham, Switzerland :},
      pages = {1 online resource (182 pages)},
      year = {2022},
      note = {Includes index.},
      abstract = {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.},
      url = {http://library.usi.edu/record/1446092},
      doi = {https://doi.org/10.1007/978-3-030-96486-3},
}