The heterogeneous effect of socioeconomic driving factors on PM2.5 in China's 30 province-level administrative regions: Evidence from Bayesian hierarchical spatial quantile regression.
Sign Up to like & getrecommendations! 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,… read more here.
Keywords: hierarchical spatial; quantile regression; regression; spatial quantile ... See more keywords
Person re-identification with activity prediction based on hierarchical spatial-temporal model
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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… read more here.
Keywords: hierarchical spatial; person identification; spatial temporal; person ... See more keywords
Cellular sociology regulates the hierarchical spatial patterning and organization of cells in organisms
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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… read more here.
Keywords: hierarchical spatial; regulates hierarchical; sociology regulates; cellular sociology ... See more keywords
Learning Hierarchical Spatial-Temporal Graph Representations for Robust Multivariate Industrial Anomaly Detection
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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… read more here.
Keywords: hierarchical spatial; temporal graph; spatial temporal; anomaly detection ... See more keywords
Robust and Hierarchical Spatial Relation Analysis for Traffic Forecasting
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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,… read more here.
Keywords: spatial relation; traffic forecasting; traffic; robust hierarchical ... See more keywords