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Published in 2020 at "Environmental pollution"
DOI: 10.1016/j.envpol.2020.114690
Abstract: China has become one of the most serious PM2.5-dominated air pollution country. Despite a great deal of research has focused on analysing the influence of social and economic driving forces of PM2.5 pollution in China,…
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Keywords:
hierarchical spatial;
quantile regression;
regression;
spatial quantile ... See more keywords
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Published in 2018 at "Neurocomputing"
DOI: 10.1016/j.neucom.2017.09.064
Abstract: Abstract Person re-identification (re-id) across cameras remains a very challenging problem, especially when the wide range searching exists in a multi-camera surveillance network. Current person re-identification methods focus on using visual model to search the…
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Keywords:
hierarchical spatial;
person identification;
spatial temporal;
person ... See more keywords
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Published in 2020 at "Open Biology"
DOI: 10.1098/rsob.200300
Abstract: Advances in single-cell biotechnology have increasingly revealed interactions of cells with their surroundings, suggesting a cellular society at the microscale. Similarities between cells and humans across multiple hierarchical levels have quantitative inference potential for reaching…
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Keywords:
hierarchical spatial;
regulates hierarchical;
sociology regulates;
cellular sociology ... See more keywords
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2
Published in 2023 at "IEEE Transactions on Industrial Informatics"
DOI: 10.1109/tii.2022.3216006
Abstract: Multivariate time series anomaly detection is one of the most indispensable yet troublesome links in complex industrial processes. The main challenge lies in discovering the representative patterns for collective or contextual anomalies among interconnected sensory…
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Keywords:
hierarchical spatial;
temporal graph;
spatial temporal;
anomaly detection ... See more keywords
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Published in 2023 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2022.3217054
Abstract: How to model the complex spatial-temporal relation in traffic data is an important problem for precisely predicting the future status of a city traffic system. Existing traffic forecasting methods rarely consider the traffic state trend,…
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Keywords:
spatial relation;
traffic forecasting;
traffic;
robust hierarchical ... See more keywords