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  <titleInfo>
    <title>Applying the neural network based models in the top pair production at LHC</title>
  </titleInfo>
  <name type="personal">
    <namePart>Anwar Zada (434)</namePart>
    <role>
      <roleTerm authority="marcrelator" type="text">creator</roleTerm>
    </role>
  </name>
  <typeOfResource>text</typeOfResource>
  <originInfo>
    <place>
      <placeTerm type="text">Islamabad</placeTerm>
    </place>
    <publisher>(unpublished)</publisher>
    <dateIssued>2021</dateIssued>
    <issuance>monographic</issuance>
  </originInfo>
  <physicalDescription>
    <extent>xv, 64 p. ; 30 cm. +CD : ill.</extent>
  </physicalDescription>
  <note>Submitted in fulfillment of the requirements for the degree of Master of Philosophy in Physics to the Department of Basic Sciences.</note>
  <note>Includes bibliographical references.</note>
  <note>Thesis supervisor: Dr. Ijaz Ahmed</note>
  <note>Thesis (M.Phil)--Riphah International University, 2021</note>
  <note>English</note>
  <subject>
    <topic>Physics</topic>
    <topic>Large hadron collider</topic>
    <topic>Top-Quark physics</topic>
    <topic>DeepTop tagging</topic>
    <topic>Artificial intelligence</topic>
    <topic>Neural networks</topic>
    <topic>Deep learning</topic>
    <topic>LHC</topic>
    <topic>DBS</topic>
    <topic>FEAS</topic>
  </subject>
  <classification authority="ddc">539.72 ANW</classification>
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