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    <title>Intelligent Systems and Data Science</title>
    <subTitle>First International Conference, ISDS 2023, Can Tho, Vietnam, November 11–12, 2023, Proceedings, Part II</subTitle>
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    <namePart>Thai-Nghe, Nguyen.</namePart>
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    <namePart>Do, Thanh-Nghi.</namePart>
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    <namePart>Haddawy, Peter.</namePart>
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    <dateIssued encoding="marc">2024</dateIssued>
    <edition>1st ed. 2024.</edition>
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    <extent>XVII, 315 p. 160 illus., 112 illus. in color. online resource.</extent>
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  <abstract>This two-volume set constitutes the refereed proceedings of the First International Conference on Intelligent Systems and Data Science, ISDS 2023, held in Can Tho, Vietnam, in November 2023. The 35 full papers and 13 short papers presented were thoroughly reviewed and selected from 123 submissions. They are organized in the following topical sections: applied intelligent systems and data science for agriculture, aquaculture, and biomedicine; big data, IoT, and cloud computing; deep learning and natural language processing; intelligent systems.</abstract>
  <tableOfContents>Applied Intelligent Systems and Data science for Agriculture, Aquaculture, and Biomedicine -- Big Data, IoT, and Cloud Computing -- Deep Learning and Natural Language Processing -- Intelligent Systems.</tableOfContents>
  <note type="statement of responsibility">edited by Nguyen Thai-Nghe, Thanh-Nghi Do, Peter Haddawy.</note>
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    <topic>Application software</topic>
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    <topic>Artificial intelligence</topic>
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  <subject authority="lcsh">
    <topic>Artificial intelligence</topic>
    <topic>Data processing</topic>
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    <topic>Natural language processing (Computer science)</topic>
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    <topic>Big data</topic>
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    <topic>Computer and Information Systems Applications</topic>
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  <subject>
    <topic>Intelligence Infrastructure</topic>
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  <subject>
    <topic>Data Science</topic>
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  <subject>
    <topic>Machine Learning</topic>
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  <subject>
    <topic>Natural Language Processing (NLP)</topic>
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  <subject>
    <topic>Big Data</topic>
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  <identifier type="isbn">9789819976669</identifier>
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