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  <doi_batch_id>aspg-3-4506-1791417629</doi_batch_id>
  <timestamp>20261008000029</timestamp>
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   <depositor_name>American Scientific Publishing Group</depositor_name>
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  <journal>
   <journal_metadata language="en">
    <full_title>Fusion: Practice and Applications</full_title>
    <abbrev_title>FPA</abbrev_title>
    <issn media_type="print">2770-0070</issn>
    <issn media_type="electronic">2692-4048</issn>
   </journal_metadata>
   <journal_issue>
    <publication_date media_type="online">
     <year>2022</year>
    </publication_date>
    <journal_volume>
     <volume>9</volume>
    </journal_volume>
    <issue>2</issue>
   </journal_issue>
   <journal_article publication_type="full_text">
    <titles>
     <title>An Effective Approach to Terrorist Threat Prediction Using Data Fusion for Warning Signals</title>
    </titles>
    <contributors>
     <person_name sequence="first" contributor_role="author">
      <given_name>Saurabh</given_name>
      <surname>Singh</surname>
      <affiliations>
       <institution>
        <institution_name>Department of Computer Science and Engineering, Jabalpur Engineering College, Jabalpur, Madhya Pradesh 482001, India</institution_name>
       </institution>
      </affiliations>
     </person_name>
     <person_name sequence="additional" contributor_role="author">
      <given_name>Shashi Kant</given_name>
      <surname>Verma</surname>
      <affiliations>
       <institution>
        <institution_name>Computer Science Department, Govind Ballabh Pant Institute of Engineering and Technology, Pauri Garhwal, Uttarakhand 246194, India</institution_name>
       </institution>
      </affiliations>
     </person_name>
     <person_name sequence="additional" contributor_role="author">
      <given_name>Akhilesh</given_name>
      <surname>Tiwari</surname>
      <affiliations>
       <institution>
        <institution_name>Department of CSE &amp; IT, Madhav Institute of Technology and Science, Gwalior, Madhya Pradesh 474005, India</institution_name>
       </institution>
      </affiliations>
     </person_name>
    </contributors>
    <jats:abstract>
     <jats:p>Terrorist network research is crucial for both anticipating terrorist acts and extracting valuable information from existing unauthenticated sources. The best method for deciphering intricate terror networks is graphic analysis. The suggested study used a data fusion technique to analyze the terrorist network using the dataset from the terrorist assault in Mumbai on 26/11. In order to effectively forecast the terror threat, the study also focuses on finding the critical node. Wassi led the attack and was a key controlling agent, according to the measurement analysis. The information matched the government's report.</jats:p>
    </jats:abstract>
    <publication_date media_type="online">
     <year>2022</year>
    </publication_date>
    <pages>
     <first_page>74</first_page>
     <last_page>89</last_page>
    </pages>
    <publisher_item>
     <item_number item_number_type="article-number">4506</item_number>
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     <doi>10.54216/FPA.090206</doi>
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