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<article article-type="Research Article">
  <front>
    <journal-meta>
      <journal-id journal-id-type="publisher">journal-of-information-and-optimization-sciences</journal-id>
      <journal-title-group>
        <journal-title>Journal of Information and Optimization Sciences</journal-title>
      </journal-title-group>
      <issn publication-format="electronic">2169-0103</issn>
      <issn publication-format="print">0252-2667</issn>
      <publisher>
        <publisher-name>Taru Publications</publisher-name>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="doi">10.47974/JIOS-1800</article-id>
      <title-group>
        <article-title>Towards industry 5.0 : Study of artificial intelligence in areas of application - A methodological approach</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author" corresp="yes">
          <name>
            <surname>Ayyalasomayajula</surname>
            <given-names>Madan Mohan Tito</given-names>
          </name>
          <aff>Computer Science, School of Business &amp; Technology, Aspen University, Phoenix, AZ, 85040, USA</aff>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Parasa</surname>
            <given-names>Gayatri</given-names>
          </name>
          <aff>Department of Computer Science Engineering, KG Reddy College of Engineering and Technology, Hyderabad, Telangana, 500086, India</aff>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Unhelkar</surname>
            <given-names>Bhuvan</given-names>
          </name>
          <aff>Muma College of Business, 8350 N. Tamiami Trail Sarasota, University of South Florida, Florida, FL 34243, USA</aff>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Murugan</surname>
            <given-names>Sivaram</given-names>
          </name>
          <aff>Department of Computer Engineering, Faculty of Engineering and Natural Sciences, Sivas University of Science and Technology, Sivas, 58000, Turkey</aff>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Borra</surname>
            <given-names>Vishnupriya</given-names>
          </name>
          <aff>Computer Science Engineering Department, (Deemed to be University), Greenfields, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Andhra Pradesh, 522302, India</aff>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Anitha</surname>
            <given-names>Thota</given-names>
          </name>
          <aff>Department of Computer Science Engineering, Maisammaguda, Medchal-Malkajgiri, District, Malla Reddy Engineering College (Autonomous), Secunderabad, Telangana, 500100, India</aff>
        </contrib>
      </contrib-group>
      <volume>45</volume>
      <issue>8</issue>
      <fpage>2261</fpage>
      <lpage>2271</lpage>
      <pub-date date-type="pub">
        <day>18</day>
        <month>12</month>
        <year>2024</year>
      </pub-date>
      <abstract>
        <p>Industry 5.0 is AI-driven and at the forefront of human-machine collaboration, which has transformed global industries. The paper highlights the applications of AI beyond manufacturing in the healthcare, finance, transport, and agriculture sectors, all being crucial to the development of Industry 5.0. A deep sense of the necessity of bespoke AI to meet the industry’s needs and to enhance human-machine interaction is emphasized by this research. This research guides researchers, stakeholders, and policymakers on AI’s ability to transform multiple sectors. The paper identifies the trends, challenges, and innovative AI methodologies with industry literature reviews and more advanced analytics to optimize the scope of Industry 5.0 related to productivity efficiency and deregulation frameworks.</p>
      </abstract>
      <kwd-group>
        <kwd>Artificial intelligence</kwd>
        <kwd>Industry 4.0</kwd>
        <kwd>Industry 5.0</kwd>
        <kwd>Industrial applications</kwd>
      </kwd-group>
      <custom-meta-group>
        <custom-meta>
          <meta-name>access</meta-name>
          <meta-value>open</meta-value>
        </custom-meta>
        <custom-meta>
          <meta-name>retracted</meta-name>
          <meta-value>no</meta-value>
        </custom-meta>
      </custom-meta-group>
    </article-meta>
  </front>
</article>
