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Titlebook: Computational Science and Its Applications – ICCSA 2017; 17th International C Osvaldo Gervasi,Beniamino Murgante,Alfredo Cuzzocr Conference

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書目名稱Computational Science and Its Applications – ICCSA 2017
副標題17th International C
編輯Osvaldo Gervasi,Beniamino Murgante,Alfredo Cuzzocr
視頻videohttp://file.papertrans.cn/234/233002/233002.mp4
概述Includes supplementary material:
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Computational Science and Its Applications – ICCSA 2017; 17th International C Osvaldo Gervasi,Beniamino Murgante,Alfredo Cuzzocr Conference
描述.The six-volume set LNCS 10404-10409 constitutes the refereed proceedings of the 17th International Conference on Computational Science and Its Applications, ICCSA 2017, held in Trieste, Italy, in July 2017.. . The 313 full papers and 12 short papers included in the 6-volume proceedings set were carefully reviewed and selected from 1052 submissions. Apart from the general tracks, ICCSA 2017 included 43 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. Furthermore, this year ICCSA 2017 hosted the XIV International Workshop On Quantum Reactive Scattering. The program also featured 3 keynote speeches and 4 tutorials..
出版日期Conference proceedings 2017
關(guān)鍵詞artificial intelligence; learning systems; semantics; internet; finite element method; genetic algorithms
版次1
doihttps://doi.org/10.1007/978-3-319-62398-6
isbn_softcover978-3-319-62397-9
isbn_ebook978-3-319-62398-6Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer International Publishing AG 2017
The information of publication is updating

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Histopathology Versus Cytopathologyf a treatment is a lengthy trial and error procedure, where treatment parameters are iteratively changed and the delivered dose is calculated to see whether it complies with the desired medical prescription. In this paper, a procedure based on fuzzy inference systems (FIS) for automated treatment pl
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