Deep learning for air pollutant concentration prediction: A review

B Zhang, Y Rong, R Yong, D Qin, M Li, G Zou… - Atmospheric …, 2022 - Elsevier
Air pollution has become one of the critical environmental problem in the 21st century and
has attracted worldwide attentions. To mitigate it, many researchers have investigated the …

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 …

How does the use of industrial robots affect the ecological footprint? International evidence

Y Chen, L Cheng, CC Lee - Ecological Economics, 2022 - Elsevier
While the use of industrial robots (UIR) promotes economic growth, it inevitably also has an
impact on the ecological environment. This research explores the relationship between UIR …

Air quality index forecast in Beijing based on CNN-LSTM multi-model

J Zhang, S Li - Chemosphere, 2022 - Elsevier
Accurate predicting the air quality trend can provide a theoretical basis for environmental
protection management and decision-making. This study proposed the convolutional neural …

LOWESS smoothing and Random Forest based GRU model: A short-term photovoltaic power generation forecasting method

Y Dai, Y Wang, M Leng, X Yang, Q Zhou - Energy, 2022 - Elsevier
Accurate prediction of photovoltaic power generation is vital to guarantee smooth operation
of power stations and ensure users' electricity consumption. As a good forecasting tool …

A New Hybrid Forecasting Model Based on Dual Series Decomposition with Long‐Term Short‐Term Memory

H Tang, UA Bhatti, J Li, S Marjan… - … Journal of Intelligent …, 2023 - Wiley Online Library
In recent years, ozone (O3) has gradually become the primary pollutant plaguing urban air
quality. Accurate and efficient ozone prediction is of great significance to the prevention and …

[HTML][HTML] Multi-output machine learning model for regional air pollution forecasting in Ho Chi Minh City, Vietnam

R Rakholia, Q Le, BQ Ho, K Vu, RS Carbajo - Environment International, 2023 - Elsevier
Air pollution concentrations in Ho Chi Minh City (HCMC) have been found to surpass the
WHO standard, which has become a very serious problem affecting human health and the …

Predicting of Daily PM2.5 Concentration Employing Wavelet Artificial Neural Networks Based on Meteorological Elements in Shanghai, China

Q Guo, Z He, Z Wang - Toxics, 2023 - mdpi.com
Anthropogenic sources of fine particulate matter (PM2. 5) threaten ecosystem security,
human health and sustainable development. The accuracy prediction of daily PM2. 5 …

Spatiotemporal air quality forecasting and health risk assessment over smart city of NEOM

K Elbaz, I Hoteit, WM Shaban, SL Shen - Chemosphere, 2023 - Elsevier
Modeling and predicting air pollution concentrations is important to provide early warnings
about harmful atmospheric substances. However, uncertainty in the dynamic process and …

A new perspective on air quality index time series forecasting: A ternary interval decomposition ensemble learning paradigm

Z Wang, R Gao, P Wang, H Chen - Technological Forecasting and Social …, 2023 - Elsevier
Accurate forecasting of the air quality index (AQI) plays a crucial role in taking precautions
against upcoming air pollution risks. However, air quality may fluctuate greatly in a certain …