Internet of Things: Architectures for Enhanced Living Environments, Volume 133 presents interesting chapters on a variety of timely topics, including Explainable Artificial Intelligence for Enhanced Living Environments: A Study on User Perspective, Human behavioral anomaly pattern mining within an IoT environment: an exploratory study, Indoor Activity Localization Technologies for Assisted Living: Opportunities, Challenges, and Future Directions, Smart Indoor Air Quality Monitoring for Enhanced Living Environments and Ambient Assisted Living, Usability evaluation for the IoT use in Enhanced Living Environments, Roadmap to the elderly enhanced living and care environments: applications and challenges on the Internet of Things domain, and much more.
1. Explainable Artificial Intelligence for Enhanced Living Environments: A Study on User Perspective Dulani Meedeniya, Sandareka Wickramanayake, Madushika Gamage, Sanka Rasnayaka and Indika Perera 2. Human behavioral anomaly pattern mining within an IoT environment: an exploratory study Mauricio A. Sanchez, Alejandro Dominguez-Rodriguez, Rosario Sánchez-García, Violeta Ocegueda-Miramontes, Leocundo Aguilar, Sergio Cervera-Torres and Antonio Rodríguez-Díaz 3. Indoor Activity Localization Technologies for Assisted Living: Opportunities, Challenges, and Future Directions Qammer H. Abbasi, Ahmad Taha and Muhammad Zakir Khan 4. Smart Indoor Air Quality Monitoring for Enhanced Living Environments and Ambient Assisted Living Gonçalo Marques, Jagriti Saini and Maitreyee Dutta 5. Usability evaluation for the IoT use in Enhanced Living Environments Hana Kopackova and Miloslav Hub 6. Roadmap to the elderly enhanced living and care environments: applications and challenges on the Internet of Things domain Analúcia Schiaffino Morales, Ione Jayce Ceola Schneider, Fabrício de Oliveira Ourique and Silvio César Cazella 7. Internet of Things and Data Science Methods for Enhanced Data Processing Pan Zheng and Bee Theng Lau 8. Internet of Things Challenges and Future Scope for Enhanced Living Environments Dan Luo, Jie Liu and Hanyang Hu
Gonçalo Marques holds a PhD in Computer Science Engineering and is member of the Portuguese Engineering Association (Ordem dos Engenheiros). He is currently working as Assistant Professor lecturing courses on programming, multimedia and database systems. His current research interests include Internet of Things, Enhanced Living Environments, machine learning, e-health, telemedicine, medical and healthcare systems, indoor air quality monitoring and assessment, and wireless sensor networks. He has more than 80 publications in international journals and conferences, is a frequent reviewer of journals and international conferences and is also involved in several edited books projects.