How to measure and control indoor air quality based on intelligent digital twin platforms: A case study in China

Y Qian, J Leng, K Zhou, Y Liu - Building and Environment, 2024 - Elsevier
In order to address the current disparity between indoor air quality assessment, prediction,
and control, this study proposes an intelligent management approach for indoor air quality …

[HTML][HTML] Prediction of Monthly PM2.5 Concentration in Liaocheng in China Employing Artificial Neural Network

Z He, Q Guo, Z Wang, X Li - Atmosphere, 2022 - mdpi.com
Fine particulate matter (PM2. 5) affects climate change and human health. Therefore, the
prediction of PM2. 5 level is particularly important for regulatory planning. The main …

[HTML][HTML] Health effects of PM2. 5 emissions from woodstoves and fireplaces in living spaces

NR Martins, GC da Graça - Journal of Building Engineering, 2023 - Elsevier
Increased exposure to airborne fine particle pollution (PM2. 5) can result in decreased life
expectancy (DLE). However, while wood-burning in woodstoves and fireplaces for domestic …

Indoor environmental quality improvement in green building: Occupant perception and behavioral impact

J Oh, W Wong, D Castro-Lacouture, JH Lee… - Journal of Building …, 2023 - Elsevier
Previous studies have explored the validity of various design and functioning interventions
to improve indoor environmental quality (IEQ); however, there is a lack of empirical studies …

A new hybrid deep neural network for multiple sites PM2. 5 forecasting

M Teng, S Li, J Yang, J Chen, C Fan, Y Ding - Journal of Cleaner …, 2024 - Elsevier
Many studies have confirmed that fine particulate matter (PM 2.5) poses significant hazards
to both human health and the ecological environment. Predicting future trends in PM 2.5 …

3D multi-robot olfaction in naturally ventilated indoor environments: Locating a time-varying source at unknown heights

M Jiang, C Tong, Z Li, H Cai, C Zhang, Y Shi… - Science of The Total …, 2024 - Elsevier
Source localization is significant for mitigating indoor air pollution and safeguarding the well-
being and safety of occupants. While most study focuses on mechanical ventilation and …

Adaptive scalable spatio-temporal graph convolutional network for PM2. 5 prediction

Q Ni, Y Wang, J Yuan - Engineering Applications of Artificial Intelligence, 2023 - Elsevier
PM2. 5 Prediction is a complex task of large-scale spatio-temporal analysis, which not only
needs comprehension of static geospatial knowledge and relative features but also needs to …