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Titlebook: Verification and Evaluation of Computer and Communication Systems; 16th International C Belgacem Ben Hedia,Yassine Maleh,Moez Krichen Confe

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发表于 2025-3-21 16:55:21 | 显示全部楼层 |阅读模式
书目名称Verification and Evaluation of Computer and Communication Systems
副标题16th International C
编辑Belgacem Ben Hedia,Yassine Maleh,Moez Krichen
视频video
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Verification and Evaluation of Computer and Communication Systems; 16th International C Belgacem Ben Hedia,Yassine Maleh,Moez Krichen Confe
描述This book constitutes the refereed proceedings of the 16th International Conference on Verification and Evaluation of Computer and Communication Systems, VECoS 2023, held in Marrakech, Morocco, during October 18–20, 2023. The 12 full papers included in this book were carefully reviewed and selected from 36 submissions. .The topics presented covered a range of subjects, including approaches to improving the scalability and efficiency of formal verification and their applications to blockchain, smart contracts and neural networks. .
出版日期Conference proceedings 2024
关键词architecting; architecture verification and validation; artificial intelligence; computer hardware; comp
版次1
doihttps://doi.org/10.1007/978-3-031-49737-7
isbn_softcover978-3-031-49736-0
isbn_ebook978-3-031-49737-7Series 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

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发表于 2025-3-21 20:41:34 | 显示全部楼层
Salwa Habbachi,Imene Ben Hafaiedh,Zhiwu Li,Moez Krichenement the retrieval step in our new gene-CBR system. The proposed method is illustrated with the analysis of microarray data belonging to bone marrow cases from 43 adult patients with cancer plus a group of three cases corresponding to healthy persons.
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Samir Ouchani,Otmane Ait Mohamed,Mourad Debbabis presented here. As the current rule validation and rule refinement systems usually rely on CBR, this is a relevant novel contribution for coping with the maintenance problem of large CBR systems for engineering design. The described global mathematical optimization enables a higher quality in the
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Fateh Boudardara,Abderraouf Boussif,Mohamed Ghazel standalone component, providing a deep integration of Explainable AI (XAI) into the CBR cycle. Besides the CBR methods, the methodology was also conceptualized to make use of the currently popular machine learning methods, such as recurrent and convolutional neural networks (RNN, ConvNet) or genera
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Hugo Beguinet,Céline Chevalier,Thomas Ricosset,Hugo Senetectives of teammates, align their mental models, and thereby resolve the cognitive dissonance in interdisciplinary design teams. We discuss some implications of our observations for developing case-based systems for collaborative interdisciplinary design.
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Afef Jmal Maâlej,Mariam Lahamiion. Handling this application required addressing how to keep LSH practical for skewed data; the resulting efficiency gains in turn enabled applying an adaptation generation strategy that previously was computationally infeasible. Experimental results show that our CBR approach achieves accuracy co
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Moussa Amrani,Abdelkader Ouared,Pierre-Yves Schobbenst deep similarity between cases with a time-to-event structure and from the DNN standpoint, case-based reasoning can provide the glass-box approach that remedies the “black box” label attached to them. In this study, we propose a synergy between case-based reasoning and Long Short-Term Memory (LSTM)
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