Artificial intelligence technologies for forecasting air pollution and human health: A narrative review

S Subramaniam, N Raju, A Ganesan, N Rajavel… - Sustainability, 2022 - mdpi.com
Air pollution is a major issue all over the world because of its impacts on the environment
and human beings. The present review discussed the sources and impacts of pollutants on …

Construction theory for a building intelligent operation and maintenance system based on digital twins and machine learning

Y Zhao, N Wang, Z Liu, E Mu - Buildings, 2022 - mdpi.com
The operation and maintenance (O&M) of buildings plays an important role in ensuring that
the buildings work normally, as well as reducing the damage caused by functional errors …

State-of-art in modelling particulate matter (PM) concentration: a scoping review of aims and methods

L Gianquintieri, D Oxoli, EG Caiani… - Environment …, 2024 - Springer
Air pollution is the one of the most significant environmental risks to health worldwide. An
accurate assessment of population exposure would require a continuous distribution of …

Investigation of indoor polycyclic aromatic hydrocarbons (PAHs) in rural northeast China: pollution characteristics, source analysis, and health assessment

L Bai, C Li - Buildings, 2022 - mdpi.com
Due to the low winter temperatures in rural areas of Northeast China, biomass fuels are
widely used for heating and cooking, resulting in increased concentrations of PAHs in rural …

Temperature, humidity and air pollution relationships during a period of rainy and dry seasons in Lagos, West Africa

N Emekwuru, O Ejohwomu - Climate, 2023 - mdpi.com
Air pollution is a concern in the West Africa region where it is known that meteorological
parameters such as ambient temperature and humidity can affect the particulate matter …

Towards cleaner air in Siliguri: A comprehensive study of PM2. 5 and PM10 through advance computational forecasting models for effective environmental …

A Bose, IR Chowdhury - Atmospheric Pollution Research, 2024 - Elsevier
This research addresses the escalating concern of air pollution, primarily due to fine
particulate matter (PM 2.5) and coarse particulate matter (PM 10), in Siliguri city, West …

PM2. 5 Concentration Prediction Model: A CNN–RF Ensemble Framework

MH Chen, YC Chen, TY Chou, FS Ning - International Journal of …, 2023 - mdpi.com
Although many machine learning methods have been widely used to predict PM2. 5
concentrations, these single or hybrid methods still have some shortcomings. This study …

[HTML][HTML] Ensemble-based classification approach for PM2. 5 concentration forecasting using meteorological data

S Saminathan, C Malathy - Frontiers in big Data, 2023 - frontiersin.org
Air pollution is a serious challenge to mankind as it poses many threats on health grounds.
Air pollution can be measured using the Air Quality Index (AQI). Air pollution is the result of …

The Exposure of Workers at a Busy Road Node to PM2.5: Occupational Risk Characterisation and Mitigation Measures

OA Ejohwomu, M Oladokun, OS Oshodi… - International Journal of …, 2022 - mdpi.com
The link between air pollution and health burden in urban areas has been well researched.
This has led to a plethora of effective policy-induced monitoring and interventions in the …

An Air Quality Modeling and Disability-Adjusted Life Years (DALY) Risk Assessment Case Study: Comparing Statistical and Machine Learning Approaches for PM2.5 …

A Agibayeva, R Khalikhan, M Guney, F Karaca… - Sustainability, 2022 - mdpi.com
Despite Central and Northern Asia having several cities sharing a similar harsh climate and
grave air quality concerns, studies on air pollution modeling in these regions are limited. For …