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Titlebook: Cloud Computing; 10th EAI Internation Lianyong Qi,Mohammad R. Khosravi,Varun G. Menon Conference proceedings 2021 ICST Institute for Comput

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发表于 2025-3-21 18:18:41 | 显示全部楼层 |阅读模式
书目名称Cloud Computing
副标题10th EAI Internation
编辑Lianyong Qi,Mohammad R. Khosravi,Varun G. Menon
视频videohttp://file.papertrans.cn/229/228407/228407.mp4
丛书名称Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engi
图书封面Titlebook: Cloud Computing; 10th EAI Internation Lianyong Qi,Mohammad R. Khosravi,Varun G. Menon Conference proceedings 2021 ICST Institute for Comput
描述This book constitutes the refereed proceedings of the 10.th. International Conference on Cloud Computing, CloudComp 2020, held in Qufu, China, in December 2020. Due to COVID-19 pandemic the conference conference was held virtually.The 14 full papers were carefully reviewed and selected from 49 submissions. The book is organized in four general areas of cyber-physical intelligent computing, secure cloud systems and cloud-based privacy, cloud-based IoT architecture, and cloud cCmputing applications..
出版日期Conference proceedings 2021
关键词artificial intelligence; communication; communication systems; computer networks; computer science; compu
版次1
doihttps://doi.org/10.1007/978-3-030-69992-5
isbn_softcover978-3-030-69991-8
isbn_ebook978-3-030-69992-5Series ISSN 1867-8211 Series E-ISSN 1867-822X
issn_series 1867-8211
copyrightICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2021
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https://doi.org/10.1007/978-3-322-95390-2 lattice constructed by MCmR reduces redundant concepts while maintaining its structure and improve the efficiency of data analysis. We verify the valid of MCmR on multiple disease gene datasets, and its ACC in Prostate_Tumor, Lung_cancer, Breast_cancer and Leukemia datasets reached 95.4, 94.9, 96.0
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https://doi.org/10.1007/978-3-322-89819-7f LSTM, and the self-attention mechanism to better exact features. We conduct extensive experiments on the KDDcup99 dataset to evaluate the performance of our CNN-A-LSTM model. Compared with other machine learning and deep learning models, our CNN-A-LSTM has superior performance.
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Schlüsseltechnologie Mathematik support for fast and highly concurrent upload data and access data. Finally, the existing sensitive and private data storage methods of industrial block chain are analyzed, and the experimental comparison with the method in this paper proves the effectiveness of this method.
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Schlüsseltechnologie-Industrienutational costs. We performed extensive experiments to valid the approach and compared it with a Spark Streaming approach. The results of the experiment show that the proposed approach has better cost optimization than the baseline approach.
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https://doi.org/10.1007/978-3-531-90227-2anized semantic structures. Experimental results show that DSE improves the performance of text classification and outperforms the state-of-the-art feature generation baselines on micro-. and macro-. scores over the real-world text classification datasets.
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