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Titlebook: Computational Science – ICCS 2023; 23rd International C Ji?í Miky?ka,Clélia de Mulatier,Peter M.A. Sloot Conference proceedings 2023 The Ed

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發(fā)表于 2025-3-21 18:30:05 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱Computational Science – ICCS 2023
副標(biāo)題23rd International C
編輯Ji?í Miky?ka,Clélia de Mulatier,Peter M.A. Sloot
視頻videohttp://file.papertrans.cn/234/233105/233105.mp4
叢書(shū)名稱Lecture Notes in Computer Science
圖書(shū)封面Titlebook: Computational Science – ICCS 2023; 23rd International C Ji?í Miky?ka,Clélia de Mulatier,Peter M.A. Sloot Conference proceedings 2023 The Ed
描述.The five-volume set LNCS 14073-14077 constitutes the proceedings of the 23rd International Conference on Computational Science, ICCS 2023, held in Prague, Czech Republic, during July 3-5, 2023...The total of 188 full papers and 94 short papers presented in this book set were carefully reviewed and selected from 530 submissions. 54 full and 37 short papers were accepted to the main track; 134 full and 57 short papers were accepted to the workshops/thematic tracks...The theme for 2023, "Computation at the Cutting Edge of Science.",. highlights the role of Computational Science in assisting multidisciplinary research. This conference was a unique event focusing on recent developments in scalable scientific algorithms, advanced software tools; computational grids; advanced numerical methods; and novel application areas. These innovative novel models, algorithms, and tools drive new science through efficient application in physical systems, computational andsystems biology, environmental systems, finance, and others..
出版日期Conference proceedings 2023
關(guān)鍵詞Modelling; Simulation; Big Data; Computational Science; Computational Methods; Numerical Algorithms; Compl
版次1
doihttps://doi.org/10.1007/978-3-031-36027-5
isbn_softcover978-3-031-36026-8
isbn_ebook978-3-031-36027-5Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

書(shū)目名稱Computational Science – ICCS 2023影響因子(影響力)




書(shū)目名稱Computational Science – ICCS 2023影響因子(影響力)學(xué)科排名




書(shū)目名稱Computational Science – ICCS 2023網(wǎng)絡(luò)公開(kāi)度




書(shū)目名稱Computational Science – ICCS 2023網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




書(shū)目名稱Computational Science – ICCS 2023被引頻次




書(shū)目名稱Computational Science – ICCS 2023被引頻次學(xué)科排名




書(shū)目名稱Computational Science – ICCS 2023年度引用




書(shū)目名稱Computational Science – ICCS 2023年度引用學(xué)科排名




書(shū)目名稱Computational Science – ICCS 2023讀者反饋




書(shū)目名稱Computational Science – ICCS 2023讀者反饋學(xué)科排名




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0302-9743 held in Prague, Czech Republic, during July 3-5, 2023...The total of 188 full papers and 94 short papers presented in this book set were carefully reviewed and selected from 530 submissions. 54 full and 37 short papers were accepted to the main track; 134 full and 57 short papers were accepted to th
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A. V. Minashkina,S. V. Kondratenkoes. The accuracy and performance of the various models are analyzed and presented, providing insights into the strengths and weaknesses of each approach in solving the task of champion recommendation. Results show that the player’s statistics on a champion are the biggest determinants of a game’s outcome.
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Champion Recommendation in?League of?Legends Using Machine Learninges. The accuracy and performance of the various models are analyzed and presented, providing insights into the strengths and weaknesses of each approach in solving the task of champion recommendation. Results show that the player’s statistics on a champion are the biggest determinants of a game’s outcome.
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Natalia N. Yarkina,Natalia N. Logunovalows to improve the intermediate results obtained via forward tracking. Together with an improved formulation of volume element affinity and a robust means of identifying and removing tracking irregularities, the procedure yields a substantially better model of temporal volume correspondence.
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Global Optimisation for?Improved Volume Tracking of?Time-Varying Mesheslows to improve the intermediate results obtained via forward tracking. Together with an improved formulation of volume element affinity and a robust means of identifying and removing tracking irregularities, the procedure yields a substantially better model of temporal volume correspondence.
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The Social Graph Based on?Real Dataocial relations in the community, like marital status or number of kids. Results show the power-law behavior of the distribution of links and, typical for small worlds, the independence of the clustering coefficient on the size of the graph.
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