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  <titleInfo>
    <title>Augmented intelligence toward smart vehicular applications</title>
  </titleInfo>
  <name type="personal">
    <namePart>Gupta, Nishu Ed.</namePart>
    <role>
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    <place>
      <placeTerm type="text">Oxon</placeTerm>
    </place>
    <publisher>Crc press</publisher>
    <dateIssued>2021</dateIssued>
    <dateIssued encoding="marc">9999</dateIssued>
    <edition>1st ed.</edition>
    <issuance>monographic</issuance>
  </originInfo>
  <language>
    <languageTerm authority="iso639-2b" type="code">und</languageTerm>
  </language>
  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
  </language>
  <physicalDescription>
    <form authority="marcform">print</form>
    <extent>xviii, 206 p. : ill.</extent>
  </physicalDescription>
  <abstract>Focuses on the organization of artificial intelligence (AI) and aspects of deep learning algorithms, particularly multimodal transport. This book will serve as an ideal reference for graduate students and academic researchers in the field of electrical engineering, electronics and communication engineering and transportation engineering.</abstract>
  <note type="statement of responsibility">Edited By Nishu Gupta Et Al</note>
  <subject>
    <topic>Transportation engineering</topic>
  </subject>
  <classification authority="ddc">629.222 GUP</classification>
  <identifier type="isbn">9780367435462</identifier>
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    <recordChangeDate encoding="iso8601">20250613143503.0</recordChangeDate>
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