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Titlebook: Computational Science – ICCS 2024; 24th International C Leonardo Franco,Clélia de Mulatier,Peter M. A. Slo Conference proceedings 2024 The

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書目名稱Computational Science – ICCS 2024
副標(biāo)題24th International C
編輯Leonardo Franco,Clélia de Mulatier,Peter M. A. Slo
視頻videohttp://file.papertrans.cn/243/242272/242272.mp4
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Computational Science – ICCS 2024; 24th International C Leonardo Franco,Clélia de Mulatier,Peter M. A. Slo Conference proceedings 2024 The
描述.The 7-volume set LNCS 14832 – 14838 constitutes the proceedings of the 24th International Conference on Computational Science, ICCS 2024, which took place in Malaga, Spain, during July 2–4, 2024...The 155 full papers and 70 short papers included in these proceedings were carefully reviewed and selected from 430 submissions...They were organized in topical sections as follows:..Part I:. ICCS 2024 Main Track Full Papers;..Part II:.?ICCS 2024 Main Track Full Papers;..Part III:. ICCS 2024 Main Track Short Papers; Advances in High-Performance Computational Earth Sciences: Numerical Methods, Frameworks and Applications; Artificial Intelligence and High-Performance Computing for Advanced Simulations;..Part IV:. Biomedical and Bioinformatics Challenges for Computer Science; Computational Health;..Part V.: Computational Optimization, Modelling, and Simulation; Generative AI and Large Language Models (LLMs) in Advancing Computational Medicine; Machine Learning and Data Assimilation for Dynamical Systems; Multiscale Modelling and Simulation;..Part VI:. Network Models and Analysis: From Foundations to Artificial Intelligence; Numerical Algorithms and Computer Arithmetic for Computational Scie
出版日期Conference proceedings 2024
關(guān)鍵詞Modelling; Simulation; Big Data; Computational Science; Computational Methods; Numerical Algorithms; Compl
版次1
doihttps://doi.org/10.1007/978-3-031-63759-9
isbn_softcover978-3-031-63758-2
isbn_ebook978-3-031-63759-9Series 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

書目名稱Computational Science – ICCS 2024影響因子(影響力)




書目名稱Computational Science – ICCS 2024影響因子(影響力)學(xué)科排名




書目名稱Computational Science – ICCS 2024網(wǎng)絡(luò)公開度




書目名稱Computational Science – ICCS 2024網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Computational Science – ICCS 2024被引頻次




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書目名稱Computational Science – ICCS 2024年度引用




書目名稱Computational Science – ICCS 2024年度引用學(xué)科排名




書目名稱Computational Science – ICCS 2024讀者反饋




書目名稱Computational Science – ICCS 2024讀者反饋學(xué)科排名




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Accurate Post-processing of Spatially-Separated Antenna Measurements Realized in Non-Anechoic Envirovely, the responses can be measured in non-anechoic conditions and then refined to extract the information on the structure field-related behavior. Here, a framework for correction of antenna measurements performed in non-anechoic test site has been proposed. The method involves automatic synchroniz
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Miniaturization-Oriented Design of Spline-Parameterized UWB Antenna for In-Door Positioning Applicatopriate balance between the size and performance. In this work, a topologically-flexible monopole has been generated using a stratified framework which embeds a gradient-based trust-region (TR) optimization algorithm in a meta-loop that gradually increases the structure dimensionality. The optimizat
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Beneath the?Facade of?IP Leasing: Graph-Based Approach for?Identifying Malicious IP Blocksers to rent IP blocks, offering an affordable and flexible solution compared to traditional IP address allocation. Unfortunately, this convenience has led to an increase in abuse, with illegal users renting IP blocks to host malicious content such as phishing sites and spam services. To mitigate the
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Inference Algorithm for?Knowledge Bases with?Rule Cluster Structureerence, measured by the number of cases in which the inference was successful. Finding a rule whose premises are true and activating it leads to extracting new knowledge and adding it as a fact to the knowledge base. We aim to check which clustering and inference parameters influence the inference e
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