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  <titleInfo>
    <title>Artificial intelligence and mobile services - AIMS 2022</title>
  </titleInfo>
  <name type="conference">
    <namePart>11th International Conference Held as Part of the Services Conference Federation, SCF 2022 Honolulu, HI, USA, December 10-14, 2022, Proceedings.</namePart>
    <role>
      <roleTerm authority="marcrelator" type="text">creator</roleTerm>
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  </name>
  <name type="personal">
    <namePart>Pan, Xiuqin.</namePart>
    <role>
      <roleTerm type="text">editor.</roleTerm>
    </role>
  </name>
  <name type="personal">
    <namePart>Jin, Ting.</namePart>
    <role>
      <roleTerm type="text">editor.</roleTerm>
    </role>
  </name>
  <name type="personal">
    <namePart>Zhang, Liang-Jie.</namePart>
    <role>
      <roleTerm type="text">editor.</roleTerm>
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  </name>
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    <dateIssued encoding="marc" point="start">2022</dateIssued>
    <issuance>monographic</issuance>
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  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
  </language>
  <physicalDescription>
    <form authority="marcform">print</form>
    <extent>illustrations ; 24 cm.</extent>
  </physicalDescription>
  <tableOfContents>Research track -- Push-based forwarding scheme using fuzzy logic to mitigate the broadcasting storm effect in VNDN -- DCRNNX: Dual- Channel recurrent neural network with Xgboost for emotion identification using nonspeech vocalizations -- Star : Knowledge graph embedding by scaling, translation and rotation -- Application Track -- Frequently asked question pair generation for rule and regulation document -- Chinese text classification using BERT and flat-lattice transformer -- Indicator-specific recurrent neural networks with co-teaching for stock trend prediction -- SATMeas - object detection and measurement : canny edge detection algorithm -- Multi- classification of electric power metadata based on prompt- tuning -- Dual branch network fused with attention mechanism for clothes-changing person re-identification -- Infant cry classification based-on feature fusion and mel-spectrogram.</tableOfContents>
  <note>Includes bibliographical references.</note>
  <subject authority="lcsh">
    <topic>Artificial Intelligence</topic>
    <topic>Periodicals</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Mobile computing</topic>
    <topic> Periodicals</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Mobile communication systems</topic>
    <topic>Periodicals</topic>
  </subject>
  <subject authority="lcsh">
    <topic> Machine learning</topic>
    <topic>Periodicals</topic>
  </subject>
  <classification authority="ddc">006.3 Ar784</classification>
  <identifier type="issn">0302-9743</identifier>
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    <recordCreationDate encoding="marc">260708</recordCreationDate>
    <recordChangeDate encoding="iso8601">20260803162009.0</recordChangeDate>
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      <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
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