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Titlebook: Computational Science and Its Applications – ICCSA 2018; 18th International C Osvaldo Gervasi,Beniamino Murgante,Yeonseung Ryu Conference p

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書(shū)目名稱(chēng)Computational Science and Its Applications – ICCSA 2018
副標(biāo)題18th International C
編輯Osvaldo Gervasi,Beniamino Murgante,Yeonseung Ryu
視頻videohttp://file.papertrans.cn/234/233006/233006.mp4
叢書(shū)名稱(chēng)Lecture Notes in Computer Science
圖書(shū)封面Titlebook: Computational Science and Its Applications – ICCSA 2018; 18th International C Osvaldo Gervasi,Beniamino Murgante,Yeonseung Ryu Conference p
描述The five volume set LNCS 10960 until 10964 constitutes the refereed proceedings of the 18th International Conference on Computational Science and Its Applications, ICCSA 2018, held in Melbourne, Australia, in July 2018.. . Apart from the general tracks, ICCSA 2018 also includes 34 international workshops in various areas of computational sciences, ranging from computational science technologies, to specific areas of computational sciences, such as computer graphics and virtual reality.. .
出版日期Conference proceedings 2018
關(guān)鍵詞artificial intelligence; cloud computing; computer networks; data communication systems; data security; i
版次1
doihttps://doi.org/10.1007/978-3-319-95171-3
isbn_softcover978-3-319-95170-6
isbn_ebook978-3-319-95171-3Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer International Publishing AG, part of Springer Nature 2018
The information of publication is updating

書(shū)目名稱(chēng)Computational Science and Its Applications – ICCSA 2018影響因子(影響力)




書(shū)目名稱(chēng)Computational Science and Its Applications – ICCSA 2018影響因子(影響力)學(xué)科排名




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書(shū)目名稱(chēng)Computational Science and Its Applications – ICCSA 2018網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




書(shū)目名稱(chēng)Computational Science and Its Applications – ICCSA 2018被引頻次




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書(shū)目名稱(chēng)Computational Science and Its Applications – ICCSA 2018讀者反饋




書(shū)目名稱(chēng)Computational Science and Its Applications – ICCSA 2018讀者反饋學(xué)科排名




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https://doi.org/10.1007/978-1-349-04135-0 increase when using GPU transformations..The project is currently in the developmental phase. Our plans include implementation of the set of transformations necessary for the data analysis in the GNA framework and tests of the GPU expediency in the complete analysis chain.
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