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  <doi_batch_id>aspg-18-727-1792025450</doi_batch_id>
  <timestamp>20261015005050</timestamp>
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  <journal>
   <journal_metadata language="en">
    <full_title>Journal of Intelligent Systems and Internet of Things</full_title>
    <abbrev_title>JISIoT</abbrev_title>
    <issn media_type="print">2769-786X</issn>
    <issn media_type="electronic">2690-6791</issn>
   </journal_metadata>
   <journal_issue>
    <publication_date media_type="online">
     <year>2021</year>
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    <journal_volume>
     <volume>2</volume>
    </journal_volume>
    <issue>1</issue>
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   <journal_article publication_type="full_text">
    <titles>
     <title>Characterizing wavelet coefficients with decomposition for medical images</title>
    </titles>
    <contributors>
     <person_name sequence="first" contributor_role="author">
      <given_name>Jabbar Abed</given_name>
      <surname>Eleiwy</surname>
      <affiliations>
       <institution>
        <institution_name>Applied Science Department, University of Technology, Baghdad, Iraq,</institution_name>
       </institution>
      </affiliations>
     </person_name>
    </contributors>
    <jats:abstract>
     <jats:p>In this paper, applications Discrete Laguerre Wavelet Transform were used where satisfactory results were obtained, where the efficiency of our proposed theory was proved, and the examples used will prove this. Three physical samples were selected that were compressed using the proposed wavelets, and good results were obtained that prove the efficiency of the method used. Three physical samples were selected that were compressed using the proposed wavelets, and good results were obtained that prove the efficiency of the method used.</jats:p>
    </jats:abstract>
    <publication_date media_type="online">
     <year>2021</year>
    </publication_date>
    <pages>
     <first_page>26</first_page>
     <last_page>32</last_page>
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     <item_number item_number_type="article-number">727</item_number>
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     <doi>10.54216/JISIoT.020103</doi>
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