严峻
发表于 2025-3-21 18:42:29
书目名称Advances in Spatial and Temporal Databases影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0149842<br><br> <br><br>书目名称Advances in Spatial and Temporal Databases影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0149842<br><br> <br><br>书目名称Advances in Spatial and Temporal Databases网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0149842<br><br> <br><br>书目名称Advances in Spatial and Temporal Databases网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0149842<br><br> <br><br>书目名称Advances in Spatial and Temporal Databases被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0149842<br><br> <br><br>书目名称Advances in Spatial and Temporal Databases被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0149842<br><br> <br><br>书目名称Advances in Spatial and Temporal Databases年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0149842<br><br> <br><br>书目名称Advances in Spatial and Temporal Databases年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0149842<br><br> <br><br>书目名称Advances in Spatial and Temporal Databases读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0149842<br><br> <br><br>书目名称Advances in Spatial and Temporal Databases读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0149842<br><br> <br><br>
osculate
发表于 2025-3-21 23:11:08
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Foreknowledge
发表于 2025-3-22 01:32:38
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蛤肉
发表于 2025-3-22 05:27:59
Evaluation of a Dynamic Tree Structure for Indexing Query Regions on Streaming Geospatial Datat data to more general spatial extents in which the incoming imagery can be single pixels, rows of pixels, or discrete parts of images. The . exploits spatial trends in incoming RSI data to efficiently filter the data of interest to the individual query regions. Experimental results using random inp
公共汽车
发表于 2025-3-22 10:00:35
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APEX
发表于 2025-3-22 13:13:20
Accurate and Efficient Similarity Search on 3D Objects Using Point Sampling, Redundancy, and Proportular, we experimentally confirm that our point sampling method is better suited to represent 3D objects in the context of rotation invariance than voxelized representations. In addition, we empirically show that our new similarity model significantly outperfoms competitive rotation invariant models
abstemious
发表于 2025-3-22 19:29:34
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充满人
发表于 2025-3-22 23:34:47
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改变
发表于 2025-3-23 05:18:58
On Trip Planning Queries in Spatial Databasesnumber of points per category or both. Therefore, for different instances of the problem, we can choose the algorithm with the best approximation ratio, since they all run in polynomial time. Furthermore, we use some of the proposed algorithms to derive efficient heuristics for large datasets stored
FLORA
发表于 2025-3-23 05:43:18
Capacity Constrained Routing Algorithms for Evacuation Planning: A Summary of Resultsstraints. It addresses the limitations of linear programming approach by using only the original evacuation network and it does not require prior knowledge of evacuation time. Performance evaluation on various network configurations shows that the CCRP algorithm produces high quality solutions, and