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Effects of sulfur dioxide inhalation on human health: a review
Sulfur dioxide (SO2) is one of the most important gaseous air pollutants and the chemical
index of sulfur oxides (SOx). SO2 is one of the six criteria pollutants in the air quality index …
index of sulfur oxides (SOx). SO2 is one of the six criteria pollutants in the air quality index …
A review of the inter-correlation of climate change, air pollution and urban sustainability using novel machine learning algorithms and spatial information science
Air pollution is a global geo-hazard with significant implications, including deterioration of
health and premature death. Climatic variables such as temperature, rainfall, wind, and …
health and premature death. Climatic variables such as temperature, rainfall, wind, and …
Prediction of air quality index using machine learning techniques: a comparative analysis
NS Gupta, Y Mohta, K Heda, R Armaan… - … and Public Health, 2023 - Wiley Online Library
An index for reporting air quality is called the air quality index (AQI). It measures the impact
of air pollution on a person's health over a short period of time. The purpose of the AQI is to …
of air pollution on a person's health over a short period of time. The purpose of the AQI is to …
A deep learning approach for prediction of air quality index in a metropolitan city
Abstract In India, the Central and State Pollution Control Boards have commissioned the
National Air Monitoring Program (NAMP) which covers 240 cities with 342 monitoring …
National Air Monitoring Program (NAMP) which covers 240 cities with 342 monitoring …
[HTML][HTML] Multi-step forecast of PM2. 5 and PM10 concentrations using convolutional neural network integrated with spatial–temporal attention and residual learning
Accurate and reliable forecasting of PM 2.5 and PM 10 concentrations is important to the
public to reasonably avoid air pollution and for the governmental policy responses …
public to reasonably avoid air pollution and for the governmental policy responses …
Indoor particulate matter in urban households: sources, pathways, characteristics, health effects, and exposure mitigation
L Zhang, C Ou, D Magana-Arachchi… - International journal of …, 2021 - mdpi.com
Particulate matter (PM) is a complex mixture of solid particles and liquid droplets suspended
in the air with varying size, shape, and chemical composition which intensifies significant …
in the air with varying size, shape, and chemical composition which intensifies significant …
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) …
RCL-Learning: ResNet and convolutional long short-term memory-based spatiotemporal air pollutant concentration prediction model
Predicting the concentration of air pollutants is an effective method for preventing pollution
incidents by providing an early warning of harmful substances in the air. Accurate prediction …
incidents by providing an early warning of harmful substances in the air. Accurate prediction …
Intelligent calibration and virtual sensing for integrated low-cost air quality sensors
This paper presents the development of air quality low-cost sensors (LCS) with improved
accuracy features. The LCS features integrate machine learning based calibration models …
accuracy features. The LCS features integrate machine learning based calibration models …
[HTML][HTML] Effective air quality prediction using reinforced swarm optimization and bi-directional gated recurrent unit
In the present scenario, air quality prediction (AQP) is a complex task due to high variability,
volatility, and dynamic nature in space and time of particulates and pollutants. Recently …
volatility, and dynamic nature in space and time of particulates and pollutants. Recently …