Machine learning and statistical models for predicting indoor air quality
Indoor air quality (IAQ), as determined by the concentrations of indoor air pollutants, can be
predicted using either physically based mechanistic models or statistical models that are …
predicted using either physically based mechanistic models or statistical models that are …
Children's well-being at schools: Impact of climatic conditions and air pollution
Human civilization is currently facing two particular challenges: population growth with a
strong trend towards urbanization and climate change. The latter is now no longer seriously …
strong trend towards urbanization and climate change. The latter is now no longer seriously …
A haze prediction model in chengdu based on LSTM
Air pollution with fluidity can influence a large area for a long time and can be harmful to the
ecological environment and human health. Haze, one form of air pollution, has been a …
ecological environment and human health. Haze, one form of air pollution, has been a …
Research and application of an evolutionary deep learning model based on improved grey wolf optimization algorithm and DBN-ELM for AQI prediction
Y Li, T Peng, L Hua, C Ji, H Ma, MS Nazir… - Sustainable Cities and …, 2022 - Elsevier
Accurate forecast of air quality index (AQI) can provide reliable guarantee for air quality early
warning and safe production. In this paper, a hybrid model for predicting AQI is presented …
warning and safe production. In this paper, a hybrid model for predicting AQI is presented …
A novel hybrid decomposition-and-ensemble model based on CEEMD and GWO for short-term PM2. 5 concentration forecasting
M Niu, Y Wang, S Sun, Y Li - Atmospheric environment, 2016 - Elsevier
To enhance prediction reliability and accuracy, a hybrid model based on the promising
principle of “decomposition and ensemble” and a recently proposed meta-heuristic called …
principle of “decomposition and ensemble” and a recently proposed meta-heuristic called …
Evaluation of random forest regression and multiple linear regression for predicting indoor fine particulate matter concentrations in a highly polluted city
Background Indoor and outdoor fine particulate matter (PM 2.5) are both leading risk factors
for death and disease, but making indoor measurements is often infeasible for large study …
for death and disease, but making indoor measurements is often infeasible for large study …
Prediction method of PM2. 5 concentration based on decomposition and integration
H Yang, W Wang, G Li - Measurement, 2023 - Elsevier
With the acceleration of urbanization leading to a general decrease in air quality, accurate
PM2. 5 concentration prediction is of the utmost practical meaning for the control and …
PM2. 5 concentration prediction is of the utmost practical meaning for the control and …
Indoor air quality in inner-city schools and its associations with building characteristics and environmental factors
Indoor concentrations of fine particulate matter (PM 2.5), nitrogen dioxide (NO 2), and
carbon monoxide (CO) were measured across 16 urban public schools in three different …
carbon monoxide (CO) were measured across 16 urban public schools in three different …
A new hybrid optimization prediction model for PM2. 5 concentration considering other air pollutants and meteorological conditions
H Yang, Z Liu, G Li - Chemosphere, 2022 - Elsevier
With the development of economy, the problem of air pollution has become increasingly
serious. As an important detection index of air pollutants, how to accurately and effectively …
serious. As an important detection index of air pollutants, how to accurately and effectively …
Recurrent air quality predictor based on meteorology-and pollution-related factors
K Gu, J Qiao, W Lin - IEEE Transactions on Industrial …, 2018 - ieeexplore.ieee.org
Air quality is currently arousing drastically increasing attention from the governments and
populace all over the world. In this paper, we propose a heuristic recurrent air quality …
populace all over the world. In this paper, we propose a heuristic recurrent air quality …