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Titlebook: Computational Science and Its Applications – ICCSA 2021; 21st International C Osvaldo Gervasi,Beniamino Murgante,Carmelo Maria T Conference

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书目名称Computational Science and Its Applications – ICCSA 2021
副标题21st International C
编辑Osvaldo Gervasi,Beniamino Murgante,Carmelo Maria T
视频video
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Computational Science and Its Applications – ICCSA 2021; 21st International C Osvaldo Gervasi,Beniamino Murgante,Carmelo Maria T Conference
描述The ten-volume set LNCS 12949 – 12958 constitutes the proceedings of the 21st International Conference on Computational Science and Its Applications, ICCSA 2021, which was held in Cagliari, Italy, during September 13 – 16, 2021. The event was organized in a hybrid mode due to the Covid-19 pandemic.The 466 full and 18 short papers presented in these proceedings were carefully reviewed and selected from 1588 submissions. The books cover such topics as multicore architectures, computational astrochemistry, mobile and wireless security, sensor networks, open source software, collaborative and social computing systems and tools, computational geometry, applied mathematics  human computer interaction, software design engineering, and others. Part V of the set includes the the proceedings on the following workshops: International Workshop on Computational Geometry and Applications (CGA 2021); International Workshop on Collaborative Intelligence in Multimodal Applications (CIMA2021); International Workshop on Computational Science and HPC (CSHPC 2021); International Workshop on Computational Optimization and Applications (COA 2021); International Workshop on Cities, Technologies and Planni
出版日期Conference proceedings 2021
关键词Computer Science; Informatics; Conference Proceedings; Research; Applications
版次1
doihttps://doi.org/10.1007/978-3-030-86976-2
isbn_softcover978-3-030-86975-5
isbn_ebook978-3-030-86976-2Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer Nature Switzerland AG 2021
The information of publication is updating

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发表于 2025-3-21 22:50:58 | 显示全部楼层
Computational Science and Its Applications – ICCSA 2021978-3-030-86976-2Series ISSN 0302-9743 Series E-ISSN 1611-3349
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Ted Schrecker (Adjunct Lecturer)ates the polygon vertices to the left or right hand side of the given line. It leads to numerically robust algorithms in comparison to the well-known Cyrus-Beck’s algorithm and its modifications..The proposed algorithm has .(.) complexity, but supports parallel processing and simple implementation i
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Stefan Beck,Frank Klobes,Christoph Scherrerses easily. It leads to more efficient algorithm for a line segment clipping in E2. It also presents importance of a detailed analysis in algorithm development, if the algorithm robustness and efficiency is required.
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Survival as an Outcome for ICU Patientsincrease. The move to diagnose people suffering from AD at an earlier stage has been a daunting problem in mental health. In recent years, the advancement of deep learning in the likes of convolutional neural networks (CNN) has made a great effort towards an early detection of AD using magnetic reso
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