Results 11 to 20 of about 65,415 (265)
Spatio-Temporal Relevance Classification from Geographic Texts Using Deep Learning
The growing proliferation of geographic information presents a substantial challenge to the traditional framework of a geographic information analysis and service.
Miao Tian +7 more
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With the proliferation of mobile devices, the amount of social media users and online news articles are rapidly increasing, and text information online is accumulating as big data.
Byoungwook Kim +3 more
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Spatio-temporal Analysis of Feature-Based Attention [PDF]
The cortical mechanisms of feature-selective attention to color and motion cues were studied in humans using combined electrophysiological, magnetoencephalographic, and hemodynamic (functional magnetic resonance imaging) measures of brain activity. Subjects viewed a display of random dots that periodically either changed color or moved coherently. When
Schoenfeld, M. +7 more
openaire +3 more sources
Trend and high risk clusters for the occurrence of congenital anomalies in the State of Mato Grosso, Brazil (2008-2019) [PDF]
Objectives: to analyze the spatiotemporal dynamics of the prevalence of congenital anomalies in in cities of Mato Grosso (MT), in the Mid-West of Brazil, from 2008 to 2019. Methods: an ecological study of cases in MT during the period from 2008 to 2019.
Bruna Rayeli Groth +9 more
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Spatio-temporal data serves as a foundation for most location-based applications nowadays. To handle spatio-temporal data, an appropriate methodology needs to be properly followed, in which space and time dimensions of data must be taken into account ...
Kulsawasd Jitkajornwanich +3 more
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Spatio-temporal imaging of cell fate dynamics in single plant cells using luminescence microscope
Stem cell fates are spatio-temporally regulated during plant development. Time-lapse imaging of fluorescence reporters is the most widely used method for spatio-temporal analysis of biological processes. However, excitation light for imaging fluorescence
Shunji Shimadzu +4 more
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CLUSTERING-BASED APPROACHES TO THE EXPLORATION OF SPATIO-TEMPORAL DATA [PDF]
As one spatio-temporal data mining task, clustering helps the exploration of patterns in the data by grouping similar elements together. However, previous studies on spatial or temporal clustering are incapable of analysing complex patterns in spatio ...
X. Wu +3 more
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In the last two decades, the number of model developments in the field of Geostatistics increased rapidly, especially in the Spatio-temporal models. Almost of these models are based on Euclidean distance, only a few which based on non-Euclidean distance.
Achmad Bachrudin +3 more
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Grid-based spatiotemporal data association analysis [PDF]
With the rapid development of information perception methods, the volume of multi-source heterogeneous data has increased explosively. Traditional methods exhibit obvious limitations in handing inconsistent spatio-temporal scales and information ...
LIU Xubo, LIU Jingshu, JIA Li
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A Framework for Discovering Evolving Domain Related Spatio-Temporal Patterns in Twitter
In massive Twitter datasets, tweets deriving from different domains, e.g., civil unrest, can be extracted to constitute spatio-temporal Twitter events for spatio-temporal distribution pattern detection.
Yan Shi +5 more
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