Deep learning for air quality forecasts: a review

Q Liao, M Zhu, L Wu, X Pan, X Tang, Z Wang - Current Pollution Reports, 2020 - Springer
Air pollution is one of major environmental issues in the twenty-first century due to global
industrialization and urbanization. Its mitigation necessitates accurate air quality forecasts …

Forecasting air pollution particulate matter (PM2. 5) using machine learning regression models

KS Harishkumar, KM Yogesh, I Gad - Procedia Computer Science, 2020 - Elsevier
From the past few decades, it has been observed that the urbanization and industrialization
are expanding in the developed nations and are confronting the overwhelming air …

Adaptive deep learning-based air quality prediction model using the most relevant spatial-temporal relations

PW Soh, JW Chang, JW Huang - Ieee Access, 2018 - ieeexplore.ieee.org
Air pollution has become an extremely serious problem, with particulate matter having a
significantly greater impact on human health than other contaminants. The small diameter of …

An air quality prediction model based on improved Vanilla LSTM with multichannel input and multiroute output

W Fang, R Zhu, JCW Lin - Expert systems with applications, 2023 - Elsevier
Long short-term memory (LSTM), especially vanilla LSTM (VLSTM), has been widely used in
air quality prediction field. However, VLSTM has many more parameters, thereby making …

Forecasting air pollutant concentration using a novel spatiotemporal deep learning model based on clustering, feature selection and empirical wavelet transform

J Kim, X Wang, C Kang, J Yu, P Li - Science of the Total Environment, 2021 - Elsevier
Accurate forecasting of air pollutant concentration is of great importance since it is an
essential part of the early warning system. However, it still remains a challenge due to the …

A combined forecasting system based on multi-objective optimization and feature extraction strategy for hourly PM2. 5 concentration

J Wang, R Wang, Z Li - Applied Soft Computing, 2022 - Elsevier
Accurate hourly PM 2.5 concentration prediction plays a key role in air quality monitoring
and controlling system, especially when severe haze occurs frequently. A PM 2.5 hourly …

Forecasting air pollution load in Delhi using data analysis tools

N Sharma, S Taneja, V Sagar, A Bhatt - Procedia computer science, 2018 - Elsevier
The enormity of air pollution has always been a matter of concern due to rapid development
and urbanization over a long period. The increasing level of pollutants in ambient air in 2016 …

Urban air quality index forecasting using multivariate convolutional neural network based customized stacked long short-term memory model

S Dey - Process Safety and Environmental Protection, 2024 - Elsevier
In the context of increasing urban pollution and its adverse health effects, this study focuses
on enhancing the air quality prediction model by forecasting future concentrations of various …

Air pollution prediction as a source for decision making framework in medical diagnosis

V Lovkin, A Oliinyk, Y Lukashenko - CEUR Workshop Proceedings, 2021 - elibrary.ru
The problem of air pollution prediction is presented in the paper. It is considered regarding
complex problem of creation of decision making framework in medical diagnosis. Therefore …

[PDF][PDF] Exploitation of Advanced Deep Learning Methods and Feature Modeling for Air Quality Prediction.

SN Parthiban, P Amudha… - Revue d'Intelligence …, 2022 - researchgate.net
Accepted: 18 December 2022 Air pollution is a major issue because Particulate Matter (PM)
has a substantially higher effect on human health than other pollutants. Air Quality (AQ) …