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 …

Applications of machine learning & Internet of Things for outdoor air pollution monitoring and prediction: A systematic literature review

I Gryech, C Asaad, M Ghogho, A Kobbane - Engineering Applications of …, 2024 - Elsevier
Abstract According to the World Health Organization (WHO), air pollution kills seven million
people every year. Outdoor air pollution is a major environmental health problem affecting …

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 …

Global estimates of ambient NO2 concentrations and long-term health effects during 2000–2019

W Sun, K Lu, R Li - Environmental Pollution, 2024 - Elsevier
High concentrations of ambient NO 2 causes serious air pollution and could also pose great
threats to human health. However, the long-term trends (20-year) and potential health effects …

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 …

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 …

Short-term forecasting using a unique ensemble technique for proactive environmental management initiatives

H Iftikhar, M Qureshi, J Zywiołek… - Frontiers in …, 2024 - frontiersin.org
Particulate matter with a diameter of 2.5 microns or less (PM 2.5) is a significant type of air
pollution that affects human health due to its ability to persist in the atmosphere and …

State-of-art in modelling particulate matter (PM) concentration: a sco** 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 …

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 …