Prediction of air quality index using machine learning techniques: a comparative analysis

NS Gupta, Y Mohta, K Heda, R Armaan… - … and Public Health, 2023 - Wiley Online Library
An index for reporting air quality is called the air quality index (AQI). It measures the impact
of air pollution on a person's health over a short period of time. The purpose of the AQI is to …

Balanced spider monkey optimization with Bi-LSTM for sustainable air quality prediction

C Aarthi, VJ Ramya, P Falkowski-Gilski… - Sustainability, 2023 - mdpi.com
A reliable air quality prediction model is required for pollution control, human health
monitoring, and sustainability. The existing air quality prediction models lack efficiency due …

A hybrid model for water quality parameter prediction based on CEEMDAN-IALO-LSTM ensemble learning

C Song, L Yao - Environmental Earth Sciences, 2022 - Springer
Water pollution is a major global environmental issue. Predicting water quality parameters in
advance is of utmost importance in the normal operation of society. However, existing …

Trend decomposition aids forecasts of air particulate matter (PM2. 5) assisted by machine and deep learning without recourse to exogenous data

DA Wood - Atmospheric Pollution Research, 2022 - Elsevier
A near-past, trend-attribute extraction technique is proposed for short-term hourly particulate
matter (PM2. 5) forecasting. Multiple attributes are extracted from the univariate PM2. 5 time …

A hybrid air quality prediction model based on empirical mode decomposition

Y Cao, D Zhang, S Ding, W Zhong… - Tsinghua Science and …, 2023 - ieeexplore.ieee.org
Air pollution is a severe environmental problem in urban areas. Accurate air quality
prediction can help governments and individuals make proper decisions to cope with …

Trend-attribute forecasting of hourly PM2. 5 trends in fifteen cities of Central England applying optimized machine learning feature selection

DA Wood - Journal of Environmental Management, 2024 - Elsevier
Abstract Recorded particulate matter (PM2. 5) hourly trends are compared for fifteen urban
recording sites distributed across central England for the period 2018 to 2022. They include …

A novel hybrid model for PM2. 5 concentration forecasting based on secondary decomposition ensemble and weight combination optimization

Y Huang, X Zhang, Y Li - IEEE Access, 2023 - ieeexplore.ieee.org
Accurate and efficient forecast of PM2. 5 concentration is the primary prerequisite for
promoting urban green development and improving residents' well-being. In this study, a …

A wavelet enhanced approach with ensemble based deep learning approach to detect air pollution

Z Abbas, P Raina - Multimedia Tools and Applications, 2024 - Springer
Air pollution is one of the most serious environmental problems worldwide. Especially, PM2.
5 cannot be blocked by filtration system of respiratory tract to cause serious threat to public …

A comparison of regression techniques for prediction of air quality in smart cities

KD Garg, M Gupta, B Sharma… - 2023 1st International …, 2023 - ieeexplore.ieee.org
The expansion of the internet of things (IoT) and Big Data are two factors that have
contributed to the rise in popularity of smart cities. The ability to anticipate the quality of the …

High-sensitivity ultrasonic guided wave monitoring of pipe defects using adaptive principal component analysis

J Ma, Z Tang, F Lv, C Yang, W Liu, Y Zheng, Y Zheng - Sensors, 2021 - mdpi.com
Ultrasonic guided wave monitoring is regularly used for monitoring the structural health of
industrial pipes, but small defects are difficult to identify owing to the influence of the …