A Comparative and Systematic Study of Machine Learning (ML) Approaches for Particulate Matter (PM) Prediction
Air quality in metropolitan areas has deteriorated due to growing urbanisation and
industrialisation, leading to severe health and significant economic consequences. This …
industrialisation, leading to severe health and significant economic consequences. This …
A model for particulate matter (PM2. 5) prediction for Delhi based on machine learning approaches
Abstract Particulate matter (PM 2.5) remains one of the most dominant contributors to air
pollution in Delhi and its acute or chronic exposures have exerted serious health …
pollution in Delhi and its acute or chronic exposures have exerted serious health …
[HTML][HTML] Performance of machine learning models to forecast PM10 levels
Abstract Machine learning techniques have garnered considerable attention in modern
technologies due to their promising outcomes across various domains. This paper presents …
technologies due to their promising outcomes across various domains. This paper presents …
[HTML][HTML] Forecasting PM10 levels in Sri Lanka: A comparative analysis of machine learning models PM10
Forecasting of particulate matter (PM10) which adversely impacts air quality is highly
important in ever-urbanizing cities. The relationship between particulate matter and other air …
important in ever-urbanizing cities. The relationship between particulate matter and other air …
Air quality analysis and PM2.5 modelling using machine learning techniques: A study of Hyderabad city in India
A Mathew, PR Gokul, P Raja Shekar… - Cogent …, 2023 - Taylor & Francis
The rapid urbanization and industrialization in many parts of the world have made air
pollution a global public health problem. A study conducted by the Swiss organization IQAir …
pollution a global public health problem. A study conducted by the Swiss organization IQAir …
Prediction of Particulate Matter (PM2. 5) Across India Using Machine Learning Methods
Air pollution is one of the global issues that has been a major concern in many countries due
to its dangerous effect on human health as well as the environment. Air pollution in India is …
to its dangerous effect on human health as well as the environment. Air pollution in India is …
Evaluation of various machine learning prediction methods for particulate matter in Kuwait
Air pollution poses a serious threat to public health and for the environment, thus predicting
air quality is very crucial for the health and well-being of individuals and the environment …
air quality is very crucial for the health and well-being of individuals and the environment …
Particulate matter forecasting using artificial neural network and support vector machine based models
Particulate matter (PM10) remains the most important air pollutant that plays a dominant
negative role in deteriorating the air quality of Delhi and its surrounding regions. Accurate …
negative role in deteriorating the air quality of Delhi and its surrounding regions. Accurate …
Hyperparameter optimization for hourly PM2. 5 pollutant prediction
AJ Barid, H Hadiyanto - Journal of Emerging Science and …, 2024 - journal.cbiore.id
Air pollution, particularly the presence of Particulate Matter (PM) 2.5, poses significant health
risks to humans, with industrial growth and urban vehicle emissions being major …
risks to humans, with industrial growth and urban vehicle emissions being major …
[PDF][PDF] Evaluation of different machine learning approaches to forecasting PM2. 5 mass concentrations
H Karimian, Q Li, C Wu, Y Qi, Y Mo, G Chen… - Aerosol and Air Quality …, 2019 - aaqr.org
With the rapid growth in the availability of data and computational technologies, multiple
machine learning frameworks have been proposed for forecasting air pollution. However …
machine learning frameworks have been proposed for forecasting air pollution. However …