Open Access
| Issue |
E3S Web Conf.
Volume 689, 2026
14th International Symposium on Heating, Ventilation, and Air Conditioning (ISHVAC 2025)
|
|
|---|---|---|
| Article Number | 05003 | |
| Number of page(s) | 6 | |
| Section | Indoor Air Quality and Ventilation | |
| DOI | https://doi.org/10.1051/e3sconf/202668905003 | |
| Published online | 21 January 2026 | |
- Jones AP, Indoor air quality and health. Atmospheric environment, 1999. 33(28): p. 4535-64. [Google Scholar]
- Settimo G, Y Yu, M Gola, M Buffoli, and S Capolongo, Challenges in IAQ for indoor spaces: a comparison of the reference guideline values of indoor air pollutants from the governments and international institutions. Atmosphere, 2023. 14(4): p. 633. [Google Scholar]
- Tarragona J, M Gangolells and M Casals, Model predictive control for managing indoor air quality levels in buildings. Energy Reports, 2024. 12: p. 787-97. [Google Scholar]
- Dai X, W Shang, J Liu, M Xue, and C Wang, Achieving better indoor air quality with IoT systems for future buildings: Opportunities and challenges. Science of The Total Environment, 2023. 895: p. 164858. [Google Scholar]
- Baqer NS, HA Mohammed, A Albahri, A Zaidan, Z Al-Qaysi, and O Albahri, Development of the Internet of Things sensory technology for ensuring proper indoor air quality in hospital facilities: Taxonomy analysis, challenges, motivations, open issues and recommended solution. Measurement, 2022. 192: p. 110920. [Google Scholar]
- Ackley A, OI Olanrewaju, ON Oyefusi, WI Enegbuma, TS Olaoye, AE Ehimatie, E Ukpong, and P Akpan-Idiok, Indoor environmental quality (IEQ) in healthcare facilities: A systematic literature review and gap analysis. Journal of Building Engineering, 2024: p. 108787. [Google Scholar]
- Hiwar W, MF King, F Shuweihdi, LA Fletcher, SJ Dancer, and CJ Noakes, What is the relationship between indoor air quality parameters and airborne microorganisms in hospital environments? A systematic review and meta‐analysis. Indoor Air, 2021. 31(5): p. 1308-22. [Google Scholar]
- Kim J, J Kim and M Sung, Comparative Evaluation of Environmental Performance of Negative Pressure Isolation Ward and General Ward Using IoT Sensors. Journal of Korean Institute of Architectural Sustainable Environment and Building Systems, 2024. 18(1): p. 72-84. [Google Scholar]
- Garcés HO, C Durán, E Espinosa, A Jerez, F Palominos, M Hinojosa, and R Carrasco, Monitoring of thermal comfort and air quality for sustainable energy management inside thospitals based on online analytical processing and the internet of things. International journal of environmental research and public health, 2022. 19(19): p. 12207. [Google Scholar]
- Kim J, S Jo, G Kim, J-H Kim, and M Sung, Predicting and Analyzing Indoor Air Quality in Inpatient Wards Using IoT‐Based Long‐ Term Data and Machine Learning. Indoor Air, 2025. 2025(1): p. 6449464. [Google Scholar]
- Homod RZ, H Togun, AK Hussein, FN Al-Mousawi, ZM Yaseen, W Al-Kouz, HJ Abd, OA Alawi, M Goodarzi, and OA Hussein, Dynamics analysis of a novel hybrid deep clustering for unsupervised learning by reinforcement of multi-agent to energy saving in intelligent buildings. Applied Energy, 2022. 313: p. 118863. [Google Scholar]
- Caron A, N Redon, P Coddeville, and B Hanoune, Identification of indoor air quality events using a K-means clustering analysis of gas sensors data. Sensors and Actuators B: Chemical, 2019. 297: p. 126709. [Google Scholar]
- Hartigan JA, MA Wong, A k-means clustering algorithm. Applied statistics, 1979. 28(1): p. 100-8. [Google Scholar]
- Environment Mo, INDOOR AIR QUALITY CONTROL ACT. 2024.02.17, Ministry of Environment. [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.

