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Titlebook: Advances in Location-Based Services; 8th International Sy Georg Gartner,Felix Ortag Book 2012 Springer-Verlag GmbH Berlin Heidelberg 2012 C

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發(fā)表于 2025-3-28 16:45:57 | 只看該作者
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發(fā)表于 2025-3-28 21:32:34 | 只看該作者
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發(fā)表于 2025-3-29 00:36:33 | 只看該作者
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發(fā)表于 2025-3-29 06:49:13 | 只看該作者
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發(fā)表于 2025-3-29 09:29:18 | 只看該作者
https://doi.org/10.1007/978-3-030-49127-7cle changes continuously, how to efficiently find a real-time optimal route based on the traffic level on the roads poses significant design challenges. In this paper, we present a dynamic modeling approach to simulate vehicle routing and actual traffic information using Timed Colored Petri Nets (TC
46#
發(fā)表于 2025-3-29 12:46:34 | 只看該作者
Stanley C. Jordan,Noriko Ammerman,Ashley Vomobile guides. Collaborative filtering (CF), known as “Amazon-like recommendations”, is a promising solution for providing context-aware recommendations. The paper investigates how context-aware CF (CaCF) can be introduced into mobile guides. Specifically, we focus on applying CaCF methods on the hi
47#
發(fā)表于 2025-3-29 16:31:16 | 只看該作者
https://doi.org/10.1007/978-3-030-49127-7eir applications. This paper presents the structure of the geospatial data access of the HaptiMap toolkit. In addition, an evaluation is carried out on the processing performance of the toolkit. The operation performances are compared with the corresponding operations of a leading open-source librar
48#
發(fā)表于 2025-3-29 21:51:02 | 只看該作者
Stanley C. Jordan,Noriko Ammerman,Ashley Vo that this spatial data varies significantly in terms of its geometric quality, its semantic consistency, in terms of its comprehensiveness of coverage and in terms of its currency. Subsequently it often compares poorly with the authoritative data capture and mapping undertaken by national mapping a
49#
發(fā)表于 2025-3-30 00:17:42 | 只看該作者
50#
發(fā)表于 2025-3-30 07:10:10 | 只看該作者
Clinical and Basic Immunodermatology and even more for complex mobile apps for planning outdoor activities. To this end search engine technology has to be extended by sophisticated preference handling capabilities for large amounts of application data, which is typically stored in relational geo-databases like PostGIS. In this paper w
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