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    <title>Proceedings of the 13th International Conference on Computer Engineering and Networks</title>
    <subTitle>Volume III</subTitle>
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    <namePart>Zhang, Yonghong.</namePart>
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    <namePart>Qi, Lianyong.</namePart>
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    <namePart>Yin, Guangqiang.</namePart>
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    <namePart>Liu, Xiaodong.</namePart>
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    <dateIssued encoding="marc">2024</dateIssued>
    <edition>1st ed. 2024.</edition>
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    <extent>XI, 481 p. 193 illus., 144 illus. in color. online resource.</extent>
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  <abstract>This book aims to examine innovation in the fields of computer engineering and networking. The text covers important developments in areas such as artificial intelligence, machine learning, information analysis, communication system, computer modeling, internet of things. This book presents papers from the 13th International Conference on Computer Engineering and Networks (CENet2023) held in Wuxi, China on November 3-5, 2023.</abstract>
  <tableOfContents>Locally Verifiable Aggregate Signature Scheme for Health Monitoring Systems -- A Multidimensional Detection Model of Android Malicious Applications Based on Dynamic and Static Analysis -- Research on Eliminating Mismatched Feature Points:A review -- Current Challenges in Federated Learning: A Review -- Cloud-Network Resource Scheduling for ONAP-based IDN -- Abnormal Transaction Node Detection on Bitcoin -- A review of visual SLAM algorithms for fusion of point-line features -- Prediction of Self-Rated Health of Older Adults by Network Services Based on Agent Simulation and XGBoost Algorithm -- Research on Telecommuting Security Solution Based on Zero Trust Architecture -- RLOP:A Framework Design for Offset Prefetching Combined with Reinforcement Learning.</tableOfContents>
  <note type="statement of responsibility">edited by Yonghong Zhang, Lianyong Qi, Qi Liu, Guangqiang Yin, Xiaodong Liu.</note>
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    <topic>Telecommunication</topic>
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    <topic>Computational intelligence</topic>
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  <subject>
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      <title>Lecture Notes in Electrical Engineering, 1127</title>
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  <identifier type="isbn">9789819992478</identifier>
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