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  <titleInfo>
    <title>An ensemble machine learning technique for effective detection of copy move forgeries in digital images</title>
  </titleInfo>
  <name type="personal">
    <namePart>Ayesha Khan (F21A14G05010)</namePart>
    <role>
      <roleTerm authority="marcrelator" type="text">creator</roleTerm>
    </role>
  </name>
  <typeOfResource>text</typeOfResource>
  <originInfo>
    <place>
      <placeTerm type="text">Faisalabad</placeTerm>
    </place>
    <publisher>(unpublished)</publisher>
    <dateIssued>2024</dateIssued>
    <issuance>monographic</issuance>
  </originInfo>
  <physicalDescription>
    <extent>vii, 74 p. : ill. ; 30 cm. +CD</extent>
  </physicalDescription>
  <note>Submitted in fulfillment of the requirements for the degree of Master of  Computer Science in the Faculty of Computing.
</note>
  <note>Includes bibliographical references.</note>
  <note>Thesis supervisor: Dr. Ijaz Ali Shoukat</note>
  <note>Thesis(MS)--Riphah International University, 2024</note>
  <note>English</note>
  <subject>
    <topic>Computer science</topic>
    <topic>Image Forgery</topic>
    <topic>Machine learning</topic>
    <topic>Ensemble approach</topic>
    <topic>Multi-feature image forgery</topic>
    <topic>FC</topic>
  </subject>
  <classification authority="ddc">006.6 AYE</classification>
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    <recordContentSource authority="marcorg"/>
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