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Titlebook: Computational Science and Its Applications – ICCSA 2020; 20th International C Osvaldo Gervasi,Beniamino Murgante,Yeliz Karaca Conference pr

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书目名称Computational Science and Its Applications – ICCSA 2020
副标题20th International C
编辑Osvaldo Gervasi,Beniamino Murgante,Yeliz Karaca
视频videohttp://file.papertrans.cn/234/233017/233017.mp4
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Computational Science and Its Applications – ICCSA 2020; 20th International C Osvaldo Gervasi,Beniamino Murgante,Yeliz Karaca Conference pr
描述.The seven volumes LNCS 12249-12255 constitute the refereed proceedings of the 20th International Conference on Computational Science and Its Applications, ICCSA 2020, held in Cagliari, Italy, in July 2020. Due to COVID-19 pandemic the conference was organized in an online event..Computational Science is the main pillar of most of the present research, industrial and commercial applications, and plays a unique role in exploiting ICT innovative technologies..The 466 full papers and 32 short papers presented were carefully reviewed and selected from 1450 submissions. Apart from the general track, ICCSA 2020 also include 52 workshops, in various areas of computational sciences, ranging from computational science technologies, to specific areas of computational sciences, such as software engineering, security, machine learning and artificial intelligence, blockchain technologies, and of applications in many fields. .
出版日期Conference proceedings 2020
关键词artificial intelligence; communication systems; computer hardware; computer networks; computer science; d
版次1
doihttps://doi.org/10.1007/978-3-030-58814-4
isbn_softcover978-3-030-58813-7
isbn_ebook978-3-030-58814-4Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer Nature Switzerland AG 2020
The information of publication is updating

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Lukas Fervers,Joachim G. Piepenburgions, especially if located in urban and peri-urban areas..In the last decades, increased forest vulnerability is being reflected in a larger number of severe decline episodes associated mainly with drought conditions. In this context, the Mediterranean area shows high forest vulnerability and a sub
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Steffen Hillmert,Silvia Kopecny,Maike Reimerre that occurred on August 10. 2017, in a protected natural site. An unsupervised classification, using a k-mean machine learning algorithm, was carried out, and the choice of an adequate number of clusters was guided by the calculation of the silhouette score. The ΔNBR index calculated from optical
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