Review of urban computing in air quality management as smart city service: An integrated IoT, AI, and cloud technology perspective
Cities foster economic growth. However, growing cities also contribute to air pollution and
climate change. The paper provides a perspective regarding the opportunity available in …
climate change. The paper provides a perspective regarding the opportunity available in …
[HTML][HTML] Machine learning algorithms to forecast air quality: a survey
Air pollution is a risk factor for many diseases that can lead to death. Therefore, it is
important to develop forecasting mechanisms that can be used by the authorities, so that …
important to develop forecasting mechanisms that can be used by the authorities, so that …
[HTML][HTML] Air pollution forecasting application based on deep learning model and optimization algorithm
Air pollution monitoring is constantly increasing, giving more and more attention to its
consequences on human health. Since Nitrogen dioxide (NO 2) and sulfur dioxide (SO 2) …
consequences on human health. Since Nitrogen dioxide (NO 2) and sulfur dioxide (SO 2) …
Development of air quality monitoring (AQM) models using different machine learning approaches
C Amuthadevi, DS Vijayan… - Journal of Ambient …, 2021 - Springer
Air Quality assessment and forecasting are the essentials today and they attracted many
researchers. Environmental organizations regularly monitor and predict the air contaminants …
researchers. Environmental organizations regularly monitor and predict the air contaminants …
[HTML][HTML] Predicting of Daily PM2.5 Concentration Employing Wavelet Artificial Neural Networks Based on Meteorological Elements in Shanghai, China
Q Guo, Z He, Z Wang - Toxics, 2023 - mdpi.com
Anthropogenic sources of fine particulate matter (PM2. 5) threaten ecosystem security,
human health and sustainable development. The accuracy prediction of daily PM2. 5 …
human health and sustainable development. The accuracy prediction of daily PM2. 5 …
[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 …
prediction of PM2. 5 level is particularly important for regulatory planning. The main …
[HTML][HTML] PM2. 5 forecasting for an urban area based on deep learning and decomposition method
Rapid growth in industrialization and urbanization have resulted in high concentration of air
pollutants in the environment and thus causing severe air pollution. Excessive emission of …
pollutants in the environment and thus causing severe air pollution. Excessive emission of …
A graph-based LSTM model for PM2. 5 forecasting
Accuracy prediction of air quality is of crucial importance for people to take precautions and
improve environmental conditions. By introducing adjacency matrix in Long Short-Term …
improve environmental conditions. By introducing adjacency matrix in Long Short-Term …
Predictions and mitigation strategies of PM2. 5 concentration in the Yangtze River Delta of China based on a novel nonlinear seasonal grey model
W Zhou, X Wu, S Ding, X Ji, W Pan - Environmental Pollution, 2021 - Elsevier
High delicate particulate matter (PM 2.5) concentration can seriously reduce air quality,
destroy the environment, and even jeopardize human health. Accordingly, accurate …
destroy the environment, and even jeopardize human health. Accordingly, accurate …
Data-driven predictive modeling of PM2.5 concentrations using machine learning and deep learning techniques: a case study of Delhi, India
The present study intends to use machine learning (ML) and deep learning (DL) models to
forecast PM2. 5 concentration at a location in Delhi. For this purpose, multi-layer feed …
forecast PM2. 5 concentration at a location in Delhi. For this purpose, multi-layer feed …