EDP Sciences logo
Web of Conferences logo
Search
Menu
All issues Volume 477 (2024) E3S Web Conf., 477 (2024) 00044 References
Open Access
Issue
E3S Web Conf.
Volume 477, 2024
International Conference on Smart Technologies and Applied Research (STAR'2023)
Article Number 00044
Number of page(s) 11
DOI https://doi.org/10.1051/e3sconf/202447700044
Published online 16 January 2024
  1. Shirin Khaki, Maud Rio and Philippe Marin, Monitoring Indoor Air Quality in Additive Manufacturing environment, Procedia CIRP, Vol. 90, pp. 455-460, 2020. [CrossRef] [Google Scholar]
  2. Alessandra Cincinelli and Tania Martellini, Indoor Air Quality and Health, International Journal of Environmental Research and Public Health, Vol. 14, pp. 1-5, 2017. [Google Scholar]
  3. Debolina Dey and Aparajita Chattopadhyay, Solid Fuel Use in Kitchen and Child Health in India, Artha Vijnana Journal of The Gokhale Institute of Politics and Economics, Vol. 58, pp. 365-379, 2016. [CrossRef] [Google Scholar]
  4. Ankita Kankaria, Baridalyne Nongkynrih, and Sanjeev Kumar Gupta, Indoor air pollution in India: Implications on health and its control, Indian Journal of Community Medicine, Vol. 39, pp. 203–207, 2014. [CrossRef] [PubMed] [Google Scholar]
  5. Jagriti Saini, Maitreyee Dutta and Goncalo Marques, A comprehensive review on indoor air quality monitoring systems for enhanced public health, Sustainable Environment Research, Vol. 30, no. 6, 2020. [Google Scholar]
  6. Ramik Rawal, Air Quality Monitoring System, International Journal of Computational Science and Engineering, Vol. 9, no. 1, pp. 1-9, 2019. [Google Scholar]
  7. Bacciu D, Barsocchi P, Chessa S, Gallicchio C and Micheli A, An experimental characterization of reservoir computing in ambient assisted living applications, Neural Computing Applications, Vol. 24, pp. 1451–1464, 2014. [CrossRef] [Google Scholar]
  8. Slimani, K., Khoulji, S., Mortreau, A., & Kerkeb, M. L. (2024). Original Research Article From tradition to innovation: The telecommunications metamorphosis with AI and advanced technologies. Journal of Autonomous Intelligence, 7(1). [Google Scholar]
  9. Marques G, Saini J, Dutta M, Singh P.K and Hong W. C, Indoor air quality monitoring systems for enhanced living environments: A review toward sustainable smart cities, Sustainability, Vol. 12, pp. 1-21, 2020. [PubMed] [Google Scholar]
  10. Nishant Singh, Mohsin Raza, Vishnu Vardhan Paranthaman, Muhammad Awais, Muhammad Khalid and Ehtasham Javed, Internet of Things and cloud computing, Digital Health, pp. 151-162, 2021. [Google Scholar]
  11. Samaher Al-Janabi, Ibrahim Al-Shourbaji, Mohammad Shojafar and Shahaboddin Shamshirband, Survey of main challenges (security and privacy) in wireless body area networks for healthcare applications, Egyptian Informatics Journal, Vol. 18, pp. 113-122, 2017. [CrossRef] [Google Scholar]
  12. Amit K. Gorai, Francis Tuluri and Paul B. Tchounwou, A GIS Based Approach for Assessing the Association between Air Pollution and Asthma in New York State, USA, International Journal of Environmental Research and PublicHealth, Vol. 11, pp. 4845-4869, 2014. [CrossRef] [Google Scholar]
  13. C. Shrubsole, S. Dimitroulopoulou, K. Foxall, B. Gadeberg and A. Doutsi, IAQ guidelines for selected volatile organic compounds (VOCs) in the UK, Building and Environment, Vol. 165, 2019. [Google Scholar]
  14. M.F.M Firdhous, B.H Sudantha and P.M Karunaratne, IoT Enabled Proactive Indoor Air Quality Monitoring System for Sustainable Health Management, International Conference on Computing and Communications Technologies, pp. 216-221, 2017. [Google Scholar]
  15. JunHo Jo, ByungWan Jo,JungHoon Kim, SungJun Kim and WoonYong Han, Development of an IoT-Based Indoor Air Quality Monitoring Platform, Journal of Sensors, pp. 1-15, 2020. [Google Scholar]
  16. Wen-Tsai Sung and Sung-Jung Hsiao, Building an indoor air quality monitoring system based on the architecture of the Internet of Things, EURASIP Journal on Wireless Communications and Networking, Vol. 153, pp. 1-41, 2021. [Google Scholar]
  17. Siavash Esfahani, Piers Rollins, Jan Peter Specht, Marina Cole and Julian W. Gardner, Smart City Battery Operated IoT Based Indoor Air Quality Monitoring System, IEEE SENSORS, pp. 1-4, 2020. [Google Scholar]
  18. Q. P. Ha, S. Metia and M. D. Phung, Sensing Data Fusion for Enhanced Indoor Air Quality Monitoring, IEEE Sensors Journal, Vol. 20, pp. 1-12, 2020. [Google Scholar]
  19. Zhibin Liu, Guangwen Wang, Liang Zhao and Guangfei Yang, Multi-points indoor air quality monitoring based on Internet of Things, IEEE Access, Vol. 9, pp. 70479 – 70492, 2021. [CrossRef] [Google Scholar]
  20. Dylan Wall Paul McCullagh and Ian Cleland Raymond Bond, Development of an Internet of Things solution to monitor and analyse indoor air quality, Internet of Things, Vol. 14, pp. 1-16, 2021. [Google Scholar]
  21. M W P Maduranga, K N M H H Kosgahakumbura and G H C J Karunarathna, Design of an IoT based indoor air quality monitoring system, Proceedings of the National Engineering Research Symposium, Vol. 1, pp. 117-122, 2020. [Google Scholar]
  22. Goncalo Marques, Cristina Roque Ferreira and Rui Pitarma, Indoor Air Quality Assessment Using a CO2 Monitoring System Based on Internet of Things, Journal of Medical Systems, Vol. 43, pp. 43-67, 2019. [CrossRef] [PubMed] [Google Scholar]
  23. N. Salman, Andrew H. Kemp, A. Khan and C. J. Noakes, Real Time Wireless Sensor Network (WSN) based Indoor Air Quality Monitoring System, IFAC-PapersOnLine, Vol. 52, pp. 324-327, 2019. [CrossRef] [Google Scholar]
  24. Adnan Masic, Dzevad Bibic, Boran Pikula and Sanela Klaric, Evaluation Of Carbon Dioxide Sensors for Indoor Air Quality Monitoring, 30th Daaam International Symposium on Intelligent Manufacturing and Automation, pp. 0457-0459, 2019. [Google Scholar]
  25. Vijaya Lakshmi Paruchuri and Dr. P. Rajesh, IoT for monitoring carbon monoxide (CO) emissions using wireless sensor networks in smart cities, International Journal of Engineering & Technology, Vol. 7, pp. 1045-1050, 2018. [CrossRef] [Google Scholar]
  26. McGrath S, Flanagan C, Zeng L and O’Leary C, IoT personal air quality monitor,31st Irish Signals and Systems Conference (ISSC), pp. 1-4, 2020. [Google Scholar]
  27. K. Zheng, S. Zhao, Z. Yang, X. Xiong and W. Xiang, Design and implementation of LPWA-based air quality monitoring system, IEEE Access, Vol. 4, pp. 3238–3245, 2016. [CrossRef] [Google Scholar]
  28. Hyunsik Kim, Sungho Tae, Pengfei Zheng, GeonukKang, and Hanseung Lee, Development of IoT-Based Particulate Matter Monitoring System for Construction Sites, International Journal of Environmental Research and Public Health, Vol. 18, pp. 1-8, 2021. [Google Scholar]
  29. Puneet Kalia and Mamtaz Alam Ansari, IOT based air quality and particulate matter concentration monitoring system, Materials Today: Proceedings, Vol. 32, pp. 1-8, 2020. [Google Scholar]
  30. Kumar A, Kumari M and Gupta H, Design and analysis of IoT based air quality monitoring system, international conference on power electronics and IoT applications in renewable energy and its control (PARC), pp. 242-245, 2020. [Google Scholar]
  31. Jeferson B. da Costa and Eduardo J. Pereira Souto, A IoT Device for Monitoring Particulate Matter and Gaseous Pollutants in Indoor Industrial Workstations, IEEE International Conference on Consumer Electronics - Taiwan, 2022. [Google Scholar]
  32. Weschler, C. J., &Carslaw, N. Indoor chemistry. Environmental Science & Technology, 52(5), 2419-2428, 2017. [Google Scholar]
  33. Morrison, G. C., Carslaw, N., & Waring, M. S. A modeling enterprise for chemistry of indoor environments (CIE). Indoor Air, 27(6), 1033-1038, 2017. [Google Scholar]
  34. A. Rehash Rushmi Pavitra, I. Daniel Lawrence, and P. Uma Maheswari. “To Identify the Accessibility and Performance of Smart Healthcare Systems in IoT-Based Environments.” In Using Multimedia Systems, Tools, and Technologies for Smart Healthcare Services, pp. 229-245. IGI Global, 2023. [Google Scholar]
  35. Lawrernce, I.D., Jayabal, S. and Thirumal, P., 2018. Indoor air quality investigations in hospital patient room. International Journal of Biomedical Engineering and Technology, 27(1-2), pp.124-138. [CrossRef] [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.