Integrating IoT and AI for Indoor Air Quality Assessment [electronic resource] / edited by Jagriti Saini, Maitreyee Dutta, Gonçalo Marques, Malka N. Halgamuge.

Introduction -- A Comprehensive Review on The Indoor Air Pollution Problem, Challenges, and Critical Viewpoints -- Bioaerosols An Unavoidable Indoor Air Pollutant that Deteriorate Indoor Air Quality -- How Indoor Air Quality Assessments Can Promote Health and Prevent Diseases -- Recent Computer-Aided Advances for Indoor Air Pollution Management -- Biomonitoring Indoor Air of Buildings -- Modern Solutions for Indoor Air Quality Management in Commercial and Residential Spaces -- A Review on Current Developments of IoT Strategies for Climate Adaptive Building Shells -- IoT Enabled Building Ventilation for Indoor Air Quality Improvement -- Indoor Air Quality Improvement Device -- Online Monitoring of Indoor Air Quality and Thermal Comfort using a Distributed Sensor Based Fuzzy-Decision Tree Model -- Health Risk Assessment Associated with Air Pollution through Technological Interventions -- Conclusion.

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.