谴责
发表于 2025-3-21 18:53:49
书目名称Volunteered Geographic Information影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0984257<br><br> <br><br>书目名称Volunteered Geographic Information影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0984257<br><br> <br><br>书目名称Volunteered Geographic Information网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0984257<br><br> <br><br>书目名称Volunteered Geographic Information网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0984257<br><br> <br><br>书目名称Volunteered Geographic Information被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0984257<br><br> <br><br>书目名称Volunteered Geographic Information被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0984257<br><br> <br><br>书目名称Volunteered Geographic Information年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0984257<br><br> <br><br>书目名称Volunteered Geographic Information年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0984257<br><br> <br><br>书目名称Volunteered Geographic Information读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0984257<br><br> <br><br>书目名称Volunteered Geographic Information读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0984257<br><br> <br><br>
做事过头
发表于 2025-3-21 20:43:08
https://doi.org/10.1007/978-3-031-35374-1Open Access; Spatio-temporal Systems; Geographical Information Systems; Social Media Systems; Data Priva
Flounder
发表于 2025-3-22 02:37:22
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桉树
发表于 2025-3-22 05:25:02
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思考才皱眉
发表于 2025-3-22 12:23:03
Analyzing and Improving the Quality and Fitness for Purpose of OpenStreetMap as Labels in Remote Sentches (. km) in combination with deep learning approaches. The first approach was applied to 1000 randomly selected relevant OSM objects. The quality score for each OSM object in the samples was combined with a large set of intrinsic quality indicators (such as the experience of the mapper, the numb
escalate
发表于 2025-3-22 16:01:17
Uncertainty-Aware Enrichment of Animal Movement Trajectories by VGIincrease the number of available records in citizen science platforms. These works are an important foundation for a dynamic matching approach to jointly integrate geospatial trajectory data and user-generated geo-referenced content. Building on this work, we explore the joint visualization of traje
geometrician
发表于 2025-3-22 17:03:13
Two Worlds in One Network: Fusing Deep Learning and Random Forests for Classification and Object Dett learn the decision boundaries of a random forest. The generated model is differentiable, can be used as a warm start for fine-tuning, and enables end-to-end optimization. Experiments on several real-world benchmark datasets demonstrate superior performance, especially when training with very few t
剧毒
发表于 2025-3-22 22:22:28
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aspect
发表于 2025-3-23 03:56:25
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聋子
发表于 2025-3-23 07:26:33
Addressing Landmark Uncertainty in VGI-Based Maps: Approaches to Improve Orientation and Navigation ariations of the data quality in VGI-based maps, including spatial accuracy of landmark representations. In a series of experiments, we investigated and quantified to what extent spatial inaccuracies of landmark representations in VGI-based maps affect map matching. Based on the findings, we were ab