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Published in 2024 at "Water Resources Management"
DOI: 10.1007/s11269-024-03774-3
Abstract: The prediction of water quality in urban rivers plays a crucial role in supporting water environment management. This study collected real-time water quality monitoring data from four stations in the Fenjiang River Basin of Foshan…
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Keywords:
water;
lstm;
prediction;
water quality ... See more keywords
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Published in 2023 at "ACS Omega"
DOI: 10.1021/acsomega.3c01832
Abstract: Although recent transfer learning soft sensors show promising applications in multigrade chemical processes, good prediction performance mainly relies on available target domain data, which is difficult to achieve for a start-up grade. Additionally, only employing…
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Keywords:
adversarial transferred;
prediction;
soft sensor;
quality prediction ... See more keywords
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Published in 2024 at "Scientific Reports"
DOI: 10.1038/s41598-024-55060-2
Abstract: In recent years, air pollution has become increasingly serious and poses a great threat to human health. Timely and accurate air quality prediction is crucial for air pollution early warning and control. Although data-driven air…
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Keywords:
air;
adjacency matrix;
quality prediction;
air quality ... See more keywords
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Published in 2024 at "Scientific Reports"
DOI: 10.1038/s41598-024-68793-x
Abstract: In many emerging nations, rapid industrialization and urbanization have led to heightened levels of air pollution. This sudden rise in air pollution, which affects global sustainability and human health, has become a significant concern for…
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Keywords:
air;
quality prediction;
air quality;
ambient air ... See more keywords
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1
Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3192541
Abstract: A slab quality prediction model based on machine learning plays an important role in improving final slab quality. However, the class imbalance of continuous casting datasets has a negative impact on the training of basic…
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Keywords:
quality prediction;
quality;
machine;
slab quality ... See more keywords
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3
Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3234214
Abstract: Air quality monitoring, modelling and forecasting are considered pressing and challenging topics for citizens and decision-makers, including the government. The tools used to achieve the above goals vary depending on the opportunities provided by technological…
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Keywords:
network;
quality prediction;
air;
study ... See more keywords
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Published in 2025 at "IEEE Access"
DOI: 10.1109/access.2025.3603920
Abstract: In the people’s everyday life, one of the most significant (and unfortunately well-known) environmental problems with substantial impact and effects is air pollution. To this end, extensive research (e.g., conducted by the World Health Organization,…
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Keywords:
air;
quality prediction;
air quality;
prediction via ... See more keywords
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Published in 2025 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2025.3547357
Abstract: Water quality prediction methods forecast the short- or long-term trends of its changes, providing proactive advice for preventing and controlling water pollution. Existing water quality prediction methods typically fail to capture water quality’s nonlinear characteristics…
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Keywords:
fusion;
water quality;
water;
quality prediction ... See more keywords
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Published in 2025 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2025.3563956
Abstract: Air quality prediction utilizes IoT technologies to collect data centrally for model training, which may cause regulatory risks, privacy concerns, and high costs of integrating data. Meanwhile, distributed training through federated learning relies on the…
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Keywords:
graph adaptive;
air;
quality prediction;
air quality ... See more keywords
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1
Published in 2022 at "IEEE Transactions on Industrial Informatics"
DOI: 10.1109/tii.2021.3076803
Abstract: Quality prediction, as the basis of quality control, is dedicated to predicting quality indices of the manufacturing process. In recent years, data-driven deep learning methods have received a lot of attention due to their accuracy,…
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Keywords:
quality prediction;
quality;
manufacturing process;
prediction ... See more keywords
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1
Published in 2022 at "IEEE Transactions on Industrial Informatics"
DOI: 10.1109/tii.2021.3130411
Abstract: Due to the existence of complex disturbances and frequent switching of operational conditions characteristics in the real industrial processes, the process data under different operational conditions subject to different distributions, which means there exist different…
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Keywords:
quality prediction;
multimanifold structure;
feature;
prediction ... See more keywords