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Titlebook: Computational Science – ICCS 2021; 21st International C Maciej Paszynski,Dieter Kranzlmüller,Peter M.A. Sl Conference proceedings 2021 Spri

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發(fā)表于 2025-3-21 18:02:24 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Computational Science – ICCS 2021
副標(biāo)題21st International C
編輯Maciej Paszynski,Dieter Kranzlmüller,Peter M.A. Sl
視頻videohttp://file.papertrans.cn/234/233092/233092.mp4
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Computational Science – ICCS 2021; 21st International C Maciej Paszynski,Dieter Kranzlmüller,Peter M.A. Sl Conference proceedings 2021 Spri
描述The six-volume set LNCS 12742, 12743, 12744, 12745, 12746, and 12747 constitutes the proceedings of the 21st International Conference on Computational Science, ICCS 2021, held in Krakow, Poland, in June 2021.*.The total of 260 full papers and 57 short papers presented in this book set were carefully reviewed and selected from 635 submissions. 48 full and 14 short papers were accepted to the main track from 156 submissions; 212 full and 43 short papers were accepted to the workshops/ thematic tracks from 479 submissions. The papers were organized in topical sections named:.Part I: ICCS Main Track..Part II: Advances in High-Performance Computational Earth Sciences: Applications and Frameworks; Applications of Computational Methods in Artificial Intelligence and Machine Learning; Artificial Intelligence and High-Performance Computing for Advanced Simulations; Biomedical and Bioinformatics Challenges for Computer Science..Part III: Classifier Learning from Difficult Data; Computational Analysis of Complex Social Systems; Computational Collective Intelligence; Computational Health..Part IV: Computational Methods for Emerging Problems in (dis-)Information Analysis; Computational Methods
出版日期Conference proceedings 2021
關(guān)鍵詞artificial intelligence; computer networks; computer vision; correlation analysis; image analysis; image
版次1
doihttps://doi.org/10.1007/978-3-030-77977-1
isbn_softcover978-3-030-77976-4
isbn_ebook978-3-030-77977-1Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer Nature Switzerland AG 2021
The information of publication is updating

書目名稱Computational Science – ICCS 2021影響因子(影響力)




書目名稱Computational Science – ICCS 2021影響因子(影響力)學(xué)科排名




書目名稱Computational Science – ICCS 2021網(wǎng)絡(luò)公開(kāi)度




書目名稱Computational Science – ICCS 2021網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




書目名稱Computational Science – ICCS 2021被引頻次




書目名稱Computational Science – ICCS 2021被引頻次學(xué)科排名




書目名稱Computational Science – ICCS 2021年度引用




書目名稱Computational Science – ICCS 2021年度引用學(xué)科排名




書目名稱Computational Science – ICCS 2021讀者反饋




書目名稱Computational Science – ICCS 2021讀者反饋學(xué)科排名




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Conference proceedings 2021hallenges for Computer Science..Part III: Classifier Learning from Difficult Data; Computational Analysis of Complex Social Systems; Computational Collective Intelligence; Computational Health..Part IV: Computational Methods for Emerging Problems in (dis-)Information Analysis; Computational Methods
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State-of-the-Art in 3D Face Reconstruction from a Single RGB Imagethat, we review 10 methods of deep learning-based 3D face reconstruction and evaluate four representative ones among them. Finally, we draw conclusions of this paper and discuss future research directions.
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Ravi Kumar Batchu,Venkata S. K. Settibathiniume, even when considering only a pair of subsequent frames at the time. Currently, the process is rather slow, but the results are promising and may lead to a new level of understanding and new algorithms for processing of time varying meshes, including compression, editing, texturing and others.
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