Cargando…
Indoor Air Quality Analysis Using Deep Learning with Sensor Data
Indoor air quality analysis is of interest to understand the abnormal atmospheric phenomena and external factors that affect air quality. By recording and analyzing quality measurements, we are able to observe patterns in the measurements and predict the air quality of near future. We designed a mic...
Autores principales: | Ahn, Jaehyun, Shin, Dongil, Kim, Kyuho, Yang, Jihoon |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5712838/ https://www.ncbi.nlm.nih.gov/pubmed/29143797 http://dx.doi.org/10.3390/s17112476 |
Ejemplares similares
-
Deep Learning-Based Indoor Air Quality Forecasting Framework for Indoor Subway Station Platforms
por: Bakht, Ahtesham, et al.
Publicado: (2022) -
Indoor Air Quality and Health
por: Cincinelli, Alessandra, et al.
Publicado: (2017) -
Indoor Air Quality at Home—An Economic Analysis
por: Dymond, Amy, et al.
Publicado: (2021) -
Utilizing Low-Cost Sensors to Monitor Indoor Air Quality in Mongolian Gers
por: Flowerday, Callum E., et al.
Publicado: (2023) -
AMID: Accurate Magnetic Indoor Localization Using Deep Learning
por: Lee, Namkyoung, et al.
Publicado: (2018)