Time series analysis and forecasting of air pollutants based on prophet forecasting model in Jiangsu province, China
Due to recent developments in the global economy, transportation, and industrialization, air
pollution is one of main environmental issues in the 21st century. The current study aimed to …
pollution is one of main environmental issues in the 21st century. The current study aimed to …
Using machine learning methods to forecast air quality: A case study in Macao
Despite the levels of air pollution in Macao continuing to improve over recent years, there
are still days with high-pollution episodes that cause great health concerns to the local …
are still days with high-pollution episodes that cause great health concerns to the local …
Prophet forecasting model: A machine learning approach to predict the concentration of air pollutants (PM2. 5, PM10, O3, NO2, SO2, CO) in Seoul, South Korea
J Shen, D Valagolam, S McCalla - PeerJ, 2020 - peerj.com
Amidst recent industrialization in South Korea, Seoul has experienced high levels of air
pollution, an issue that is magnified due to a lack of effective air pollution prediction …
pollution, an issue that is magnified due to a lack of effective air pollution prediction …
Comparative analysis of deep and machine learning approaches for daily carbon monoxide pollutant concentration estimation
Air pollution is an increasingly critical global issue around the world largely attributed to
rapid industrial development, the rise in the world's population, and the ever increasing …
rapid industrial development, the rise in the world's population, and the ever increasing …
Analysis of incidence of air quality on human health: a case study on the relationship between pollutant concentrations and respiratory diseases in Kennedy, Bogotá
NI Molina-Gómez, DS Calderón-Rivera… - International Journal of …, 2021 - Springer
Thousands of deaths associated with air pollution each year could be prevented by
forecasting the behavior of factors that pose risks to people's health and their geographical …
forecasting the behavior of factors that pose risks to people's health and their geographical …
Statistical study of particulate matter (PM10) air contamination in the city of Vidin, Bulgaria
The paper presents a detailed statistical analysis to study the concentrations of PM10 for the
city of Vidin, Bulgaria. The town of Vidin is located in north-western Bulgaria, on the south …
city of Vidin, Bulgaria. The town of Vidin is located in north-western Bulgaria, on the south …
Machine learning for air quality index (AQI) forecasting: shallow learning or deep learning?
E Kalantari, H Gholami, H Malakooti… - … Science and Pollution …, 2024 - Springer
In this study, several machine learning (ML) models consisting of shallow learning (SL)
models (eg, random forest (RF), K-nearest neighbor (KNN), weighted K-nearest neighbor …
models (eg, random forest (RF), K-nearest neighbor (KNN), weighted K-nearest neighbor …
Evaluation and Predicting PM10 Concentration Using Multiple Linear Regression and Machine Learning
S Son, J Kim - Korean Journal of Remote Sensing, 2020 - koreascience.kr
Particulate matter (PM) that has been artificially generated during the recent of rapid
industrialization and urbanization moves and disperses according to weather conditions …
industrialization and urbanization moves and disperses according to weather conditions …
An energy-efficient wireless sensor network construction algorithm for air quality condition detection system
S De, B Chakraborty - Computers & Electrical Engineering, 2021 - Elsevier
Abstract In India, the Air Quality Index (AQI) is calculated according to the air pollutants'
values of PM2. 5, PM10, NO2, NH3 SO2, CO, and O3. Firstly, to collect these values from an …
values of PM2. 5, PM10, NO2, NH3 SO2, CO, and O3. Firstly, to collect these values from an …
Random forest regression for statistical modeling and forecasting of PM10
A Ivanov, S Gocheva-Ilieva… - AIP Conference …, 2022 - pubs.aip.org
The PM10 (Particulate Matter with diameter of 10 microns or less) is a major air pollutant
with a number of harmful effects on human health. As a primary pollutant, it is also an …
with a number of harmful effects on human health. As a primary pollutant, it is also an …