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  <doi_batch_id>aspg-3-2560-1791419716</doi_batch_id>
  <timestamp>20261008003516</timestamp>
  <depositor>
   <depositor_name>American Scientific Publishing Group</depositor_name>
   <email_address>admin@americaspg.com</email_address>
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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>2024</year>
    </publication_date>
    <journal_volume>
     <volume>15</volume>
    </journal_volume>
    <issue>1</issue>
   </journal_issue>
   <journal_article publication_type="full_text">
    <titles>
     <title>An Intelligent Fusion-based Behavioral Trait Prediction for Autistic Spectrum Disorder with Artificial Intelligence</title>
    </titles>
    <contributors>
     <person_name sequence="first" contributor_role="author">
      <given_name>Monalin</given_name>
      <surname>Pal</surname>
      <affiliations>
       <institution>
        <institution_name>CMR University (CMRU), Bangalore, India</institution_name>
       </institution>
      </affiliations>
     </person_name>
     <person_name sequence="additional" contributor_role="author">
      <given_name>Rubini</given_name>
      <surname>P.</surname>
      <affiliations>
       <institution>
        <institution_name>CMR University (CMRU), Bangalore, India</institution_name>
       </institution>
      </affiliations>
     </person_name>
    </contributors>
    <jats:abstract>
     <jats:p>Autism spectrum disorder (ASD) is a neurological and developmental condition impacting individuals' interactions with others, communication, learning, and behavior. While autism can be identified at any point in life, it is characterized as a &quot;developmental disorder&quot; due to the typical onset of symptoms within the initial two years of life. As individuals with ASD transition from childhood to adolescence and young adulthood, they might face challenges in establishing and having friendships, communicating with both peers and adults, and understanding the expected behaviors in education or work. The current study introduces a novel approach for suggesting the right behavioral strategy to assist Autistic Spectrum Disorder with the help of supervised BERT (Bidirectional Encoder Representations from Transformers). Our model achieved an accuracy of 88% with the help of BERT to predict the right behavioral trait. This research demonstrates cost-effectiveness and efficiency in offering recommendations for ASD, making it suitable for applications requiring near real-time outcomes.</jats:p>
    </jats:abstract>
    <publication_date media_type="online">
     <year>2024</year>
    </publication_date>
    <pages>
     <first_page>120</first_page>
     <last_page>127</last_page>
    </pages>
    <publisher_item>
     <item_number item_number_type="article-number">2560</item_number>
    </publisher_item>
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     <ai:license_ref applies_to="vor">https://creativecommons.org/licenses/by/4.0/</ai:license_ref>
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    <doi_data>
     <doi>10.54216/FPA.150110</doi>
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