Results 1 to 10 of about 2,341,542 (226)
A Hybrid Spatio-Temporal Data Indexing Method for Trajectory Databases
Sensors, 2014 In recent years, there has been tremendous growth in the field of indoor and outdoor positioning sensors continuously producing huge volumes of trajectory data that has been used in many fields such as location-based services or location intelligence ...
Shengnan Ke +5 more
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From graph models to intelligent decision-making: a review of spatio-temporal graph neural networks for regional disease risk prediction and etiology mining [PDF]
Frontiers in Public HealthBackgroundRegional disease risk prediction is a core component of public health early warning systems. Traditional statistical models and machine learning methods have inherent limitations in handling multi-source heterogeneous data fusion, complex ...
Ye Chen, Xiaoqun Qin, Shouping Chen
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A Systematic Review of Spatial and Spatio-temporal Analyses in Public Health Research in Korea [PDF]
Journal of Preventive Medicine and Public Health, 2021 Objectives Despite its advantages, it is not yet common practice in Korea for researchers to investigate disease associations using spatio-temporal analyses.
Han Geul Byun, Naae Lee, Seung-sik Hwang
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A Spatial Index Based on Clipping Bounding Box of Space Partitioning Tree [PDF]
Zhengzhou Daxue xuebao. Gongxue ban, 2022 In spatial databases, spatio-temporal indexes based on R tree use minimum bounding box(MBB)to approximate spatio-temporal data to improve query efficiency, and the efficiency of indexing can be further improved by by clipping the bounding box.To ...
XIONG Wei +4 more
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METHOD OF MULTI-MODAL VIDEO ANALYSIS OF HAND MOVEMENTS FOR AUTOMATIC RECOGNITION OF ISOLATED SIGNS OF RUSSIAN SIGN LANGUAGE [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2021 This paper presents a new method for collecting multimodal sign language (SL) databases, which is distinguished by the use of multimodal video data.
А. Axyonov, D. Ryumin, I. Kagirov
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Frontiers in Applied Mathematics and Statistics, 2022 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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Modeling and Querying Multi-dimensional Moving Objects
Journal of Harbin University of Science and Technology, 2022 Motivated by the problem that the existing spatio-temporal data models do not fully represent moving objects, we design a multi-dimensional data model supporting multiple attributes, static and dynamic attributes.
SHEN Xiang-hong +4 more
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Suitability of Graph Database Technology for the Analysis of Spatio-Temporal Data
Future Internet, 2020 Every day large quantities of spatio-temporal data are captured, whether by Web-based companies for social data mining or by other industries for a variety of applications ranging from disaster relief to marine data analysis.
Sedick Baker Effendi +2 more
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Discovering Homogeneous Groups from Geo-Tagged Videos
Sensors, 2023 The popularity of intelligent devices with GPS and digital compasses has generated plentiful videos and images with text tags, timestamps, and geo-references.
Xuejing Di, Dong June Lew, Kwang Woo Nam
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BMJ Open, 2023 Objective Various studies have been published to better understand the underlying spatial and temporal dynamics of COVID-19. This review sought to identify different spatial and spatio-temporal modelling methods that have been applied to COVID-19 and ...
Julius Nyerere Odhiambo +3 more
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