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  <doi_batch_id>aspg-25-1143-1792222719</doi_batch_id>
  <timestamp>20261017073839</timestamp>
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  <journal>
   <journal_metadata language="en">
    <full_title>Journal of Cognitive Human-Computer Interaction</full_title>
    <abbrev_title>JCHCI</abbrev_title>
    <issn media_type="print">2771-1471</issn>
    <issn media_type="electronic">2771-1463</issn>
   </journal_metadata>
   <journal_issue>
    <publication_date media_type="online">
     <year>2022</year>
    </publication_date>
    <journal_volume>
     <volume>3</volume>
    </journal_volume>
    <issue>2</issue>
   </journal_issue>
   <journal_article publication_type="full_text">
    <titles>
     <title>Transformer Analyzer BOT</title>
    </titles>
    <contributors>
     <person_name sequence="first" contributor_role="author">
      <given_name>Rajmohan</given_name>
      <surname>P.</surname>
      <affiliations>
       <institution>
        <institution_name>Department of Electrical and Electronics Engineering, Panimalar Engineering College, Chennai, India</institution_name>
       </institution>
      </affiliations>
     </person_name>
     <person_name sequence="additional" contributor_role="author">
      <given_name>Rishisarvesh U.</given_name>
      <surname>S.</surname>
      <affiliations>
       <institution>
        <institution_name>Department of Electrical and Electronics Engineering, Panimalar Engineering College, Chennai, India</institution_name>
       </institution>
      </affiliations>
     </person_name>
     <person_name sequence="additional" contributor_role="author">
      <given_name>Ponkumar</given_name>
      <surname>G.</surname>
      <affiliations>
       <institution>
        <institution_name>Department of Electrical and Electronics Engineering, Panimalar Engineering College, Chennai, India</institution_name>
       </institution>
      </affiliations>
     </person_name>
     <person_name sequence="additional" contributor_role="author">
      <given_name>Naveen</given_name>
      <surname>R.</surname>
      <affiliations>
       <institution>
        <institution_name>Department of Electrical and Electronics Engineering, Panimalar Engineering College, Chennai, India</institution_name>
       </institution>
      </affiliations>
     </person_name>
     <person_name sequence="additional" contributor_role="author">
      <given_name>Pragathish R.</given_name>
      <surname>S.</surname>
      <affiliations>
       <institution>
        <institution_name>Department of Electrical and Electronics Engineering, Panimalar Engineering College, Chennai, India</institution_name>
       </institution>
      </affiliations>
     </person_name>
     <person_name sequence="additional" contributor_role="author">
      <given_name>Santhosh</given_name>
      <surname>P.</surname>
      <affiliations>
       <institution>
        <institution_name>Department of Electrical and Electronics Engineering, Panimalar Engineering College, Chennai, India</institution_name>
       </institution>
      </affiliations>
     </person_name>
     <person_name sequence="additional" contributor_role="author">
      <given_name>Arun k.</given_name>
      <surname>D.</surname>
      <affiliations>
       <institution>
        <institution_name>Department of Computer Science Engineering, Panimalar Engineering College, Chennai, India</institution_name>
       </institution>
      </affiliations>
     </person_name>
     <person_name sequence="additional" contributor_role="author">
      <given_name>Syed</given_name>
      <surname>moinudeen</surname>
      <affiliations>
       <institution>
        <institution_name>Department of Electrical and Electronics Engineering, Panimalar Engineering College, Chennai, India</institution_name>
       </institution>
      </affiliations>
     </person_name>
    </contributors>
    <jats:abstract>
     <jats:p>In an automation world everything gets connect to the internet using the cloud, IoT, and various techniques but it does not reach up to the mark. In a transformer, the efficiency can improve by various methods but the greatest challenge is still continuous which includes fault analysis and energy saving so there is an ideal solution to that greatest challenge using automation, cloud computing, andmachinelearning.</jats:p>
    </jats:abstract>
    <publication_date media_type="online">
     <year>2022</year>
    </publication_date>
    <pages>
     <first_page>16</first_page>
     <last_page>20</last_page>
    </pages>
    <publisher_item>
     <item_number item_number_type="article-number">1143</item_number>
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     <doi>10.54216/JCHCI.030202</doi>
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