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  <titleInfo>
    <title>Artificial intelligence based classification of sparse electroencephalography signals</title>
  </titleInfo>
  <name type="personal">
    <namePart>Meezan Hamid (CMS# 33025)</namePart>
    <role>
      <roleTerm authority="marcrelator" type="text">creator</roleTerm>
    </role>
  </name>
  <typeOfResource>text</typeOfResource>
  <originInfo>
    <place>
      <placeTerm type="text">Lahore</placeTerm>
    </place>
    <publisher>(unpublished)</publisher>
    <dateIssued>2024</dateIssued>
    <issuance>monographic</issuance>
  </originInfo>
  <physicalDescription>
    <extent>xi, 38 p. :ill.  ; 29.1 cm. +CD</extent>
  </physicalDescription>
  <note>Includes bibliographical references</note>
  <note>A thesis submitted in partial fulfillment of the requirement for the degree of Master of Science in Biomedical Engineering.</note>
  <note>Thesis supervisor: Dr. Muhammad Akmal</note>
  <note>Thesis (MS)--Riphah International University, 2024
</note>
  <note>English</note>
  <subject>
    <topic>Biomedical Engineering</topic>
    <topic>Artificial neural network</topic>
    <topic>Artificial intelligence</topic>
    <topic>Matrix factorization</topic>
    <topic>Machine learning</topic>
    <topic>Vector machine</topic>
    <topic>MS-BME</topic>
    <topic>RCST</topic>
  </subject>
  <classification authority="ddc">620 MEE</classification>
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