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Titlebook: Geo-Spatial Knowledge and Intelligence; 5th International Co Hanning Yuan,Jing Geng,Tisinee Surapunt Conference proceedings 2018 Springer N

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發(fā)表于 2025-3-21 16:24:19 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Geo-Spatial Knowledge and Intelligence
副標(biāo)題5th International Co
編輯Hanning Yuan,Jing Geng,Tisinee Surapunt
視頻videohttp://file.papertrans.cn/384/383025/383025.mp4
叢書名稱Communications in Computer and Information Science
圖書封面Titlebook: Geo-Spatial Knowledge and Intelligence; 5th International Co Hanning Yuan,Jing Geng,Tisinee Surapunt Conference proceedings 2018 Springer N
描述This two-volume set (CCIS 848 and CCIS 849) constitutes the thoroughly refereed proceedings of the 5th International Conference Geo-Spatial Knowledge and Intelligence, GSKI 2017, held in Chiang Mai, Thailand, in December 2018.The 142 full papers presented were carefully reviewed and selected from 579 submissions. They are organized in topical sections on smart city in resource management and sustainable ecosystem;?spatial data acquisition through RS and GIS in resource management and sustainable ecosystem;?ecological and environmental data processing and management;?advanced geospatial model and analysis for understanding ecological and environmental process;?applications of geo-informatics in resource management and sustainable ecosystem..
出版日期Conference proceedings 2018
關(guān)鍵詞Computer Science; Informatics; Conference Proceedings; Research; Applications
版次1
doihttps://doi.org/10.1007/978-981-13-0896-3
isbn_softcover978-981-13-0895-6
isbn_ebook978-981-13-0896-3Series ISSN 1865-0929 Series E-ISSN 1865-0937
issn_series 1865-0929
copyrightSpringer Nature Singapore Pte Ltd. 2018
The information of publication is updating

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Geo-Spatial Knowledge and Intelligence978-981-13-0896-3Series ISSN 1865-0929 Series E-ISSN 1865-0937
板凳
發(fā)表于 2025-3-22 00:43:37 | 只看該作者
地板
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Die Erz?hlung im Sturm und Drang the research contents include image preprocessing, image feature extraction and image content identification. BP neural network is used for the research on the image content identification. The processing methods in this article include the following steps, first, the pre-processing of the image. I
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Chemische Eigenschaften und Feinbau,or learning to rank based on the neural network, the model predicts the score of each document independently, which cannot reflect the link between those documents associated with the same query. To solve the problem, this paper proposes a new ranking neural network model called Query Normalization
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Die Etruskische Bronzeleber von Piacenza,tudies mainly focus on whether spatial feature instances are frequently located together. However, the utilities of spatial instances in different space regions are different. Based on the importance of spatial a region, the utility value of the region is determined, and then a utility participation
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,Die Zukunft der W?hrungsunion,defects are analyzed and summarized. Besides, a novel triad memory model has been proposed. Based on the model and the variable life cycle methodology, an approach for inner-procedure and inter-procedure detection has been presented too. Eventually, the prototype CAnalyzer is implemented on the basi
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