Cargando…
Deep Learning-Based Indoor Air Quality Forecasting Framework for Indoor Subway Station Platforms
Particulate matter (PM) of sizes less than 10 µm ([Formula: see text]) and 2.5 µm ([Formula: see text]) found in the environment is a major health concern. As PM is more prevalent in an enclosed environment, such as a subway station, this can have a negative impact on the health of commuters and sta...
Autores principales: | Bakht, Ahtesham, Sharma, Shambhavi, Park, Duckshin, Lee, Hyunsoo |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9609938/ https://www.ncbi.nlm.nih.gov/pubmed/36287838 http://dx.doi.org/10.3390/toxics10100557 |
Ejemplares similares
-
Indoor Air Pollution, Related Human Diseases, and Recent Trends in the Control and Improvement of Indoor Air Quality
por: Tran, Vinh Van, et al.
Publicado: (2020) -
Characterization of bacterial species and antibiotic resistance observed in Seoul, South Korea's popular Gangnam-gu area
por: Sharma, Shambhavi, et al.
Publicado: (2023) -
Experimental Investigation of Air Quality in a Subway Station with Fully Enclosed Platform Screen Doors
por: Pang, Liping, et al.
Publicado: (2020) -
Contribution of Singular Spectral Analysis to Forecasting and Anomalies Detection of Indoors Air Quality
por: Espinosa, Felipe, et al.
Publicado: (2022) -
Development of a 3D Underground Cadastral System with Indoor Mapping for As-Built BIM: The Case Study of Gangnam Subway Station in Korea
por: Kim, Sangmin, et al.
Publicado: (2015)