Regional air quality forecasting using spatiotemporal deep learning
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Cleaner Production"
DOI: 10.1016/j.jclepro.2020.125341
Abstract: Abstract Accelerated urbanization and industrialization have led to poor air quality, which threatens human health with various lung ailments. Monitoring, modeling, and forecasting air quality would be a prudent way to promote awareness and defend… read more here.
Keywords: quality forecasting; deep learning; regional air; air ... See more keywords
A Type-2 Fuzzy Time Series Model for Pattern Similarity Analysis: A Case Study on Air Quality Forecasting
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Intelligent Systems"
DOI: 10.1109/mis.2021.3095727
Abstract: Air quality forecasting is a crucial part of megacities control and planning. It is necessary to develop high-quality forecasting methods in real-world applications, especially the issues that affect public health. Like many real-world problems, air… read more here.
Keywords: time; quality; time series; quality forecasting ... See more keywords
Accuracy improvement in air‐quality forecasting using regressor combination with missing data imputation
Sign Up to like & getrecommendations! Published in 2021 at "Computational Intelligence"
DOI: 10.1111/coin.12399
Abstract: This article proposes a hybrid model based on regressor combination to improve the accuracy of air‐quality forecasting. The expectation‐maximization algorithm was used to impute the missing values of the dataset. The optimal hyperparameter values for… read more here.
Keywords: quality; quality forecasting; air quality; regressor combination ... See more keywords
Distributed Deep Features Extraction Model for Air Quality Forecasting
Sign Up to like & getrecommendations! Published in 2020 at "Sustainability"
DOI: 10.3390/su12198014
Abstract: Several studies in environmental engineering emphasize the importance of air quality forecasting for sustainable development around the world. In this paper, we studied a new approach for air quality forecasting in Busan metropolitan city. We… read more here.
Keywords: quality forecasting; distributed deep; model; air ... See more keywords
Water quality forecasting of Haihe River based on improved fuzzy time series model
Sign Up to like & getrecommendations! Published in 2018 at "Desalination and Water Treatment"
DOI: 10.5004/dwt.2018.22085
Abstract: Fuzzy time series (FTS) forecasting model has both advantages of fuzzy theory and time series, and can overcome the problem that historical data is inaccurate or incomplete. It has been applied in many fields and… read more here.
Keywords: water; quality forecasting; time series; water quality ... See more keywords