<?xml version="1.0" encoding="UTF-8"?>
<item xmlns="http://omeka.org/schemas/omeka-xml/v5" itemId="17883" public="1" featured="0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://omeka.org/schemas/omeka-xml/v5 http://omeka.org/schemas/omeka-xml/v5/omeka-xml-5-0.xsd" uri="https://archives.christuniversity.in/items/show/17883?output=omeka-xml" accessDate="2026-05-02T18:43:17+00:00">
  <collection collectionId="15">
    <elementSetContainer>
      <elementSet elementSetId="1">
        <name>Dublin Core</name>
        <description>The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.</description>
        <elementContainer>
          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
            <elementTextContainer>
              <elementText elementTextId="44496">
                <text>Book Chapter</text>
              </elementText>
            </elementTextContainer>
          </element>
        </elementContainer>
      </elementSet>
    </elementSetContainer>
  </collection>
  <itemType itemTypeId="27">
    <name>Book Chapter</name>
    <description>Faculty Publications- Book Chapter</description>
  </itemType>
  <elementSetContainer>
    <elementSet elementSetId="1">
      <name>Dublin Core</name>
      <description>The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.</description>
      <elementContainer>
        <element elementId="50">
          <name>Title</name>
          <description>A name given to the resource</description>
          <elementTextContainer>
            <elementText elementTextId="146484">
              <text>AI Applications  Computer Vision and Natural Language Processing</text>
            </elementText>
          </elementTextContainer>
        </element>
        <element elementId="49">
          <name>Subject</name>
          <description>The topic of the resource</description>
          <elementTextContainer>
            <elementText elementTextId="146485">
              <text>Artificial Intelligence; Image Recognition; Natural Language Processing; Technology Integration</text>
            </elementText>
          </elementTextContainer>
        </element>
        <element elementId="41">
          <name>Description</name>
          <description>An account of the resource</description>
          <elementTextContainer>
            <elementText elementTextId="146486">
              <text>Artificial intelligence (AI) applications in computer vision and natural language processing (NLP) have made major advances in recent years, challenging a number of sectors and areas. This multidisciplinary topic combines NLP, which examines the study of human language, and computer vision, which concentrates on the understanding of visual data. This study examines the wide range of applications that are included within this convergence, highlighting the revolutionary potential of AI technology. AI has made it possible to make significant advances in autonomous systems, object identification, and image recognition in the field of computer vision. These developments have stimulated innovation and increased efficiency, revolutionizing sectors including healthcare, autonomous vehicles, and security. Meanwhile, AI-driven advances in NLP have produced strong language models that can produce, comprehend, and translate text. These approaches have been utilized to improve accessibility and efficiency of communication in chatbots, sentiment analysis, and language translation services. This chapter explores the basic ideas and advancements in these two fields, emphasizing the opportunities and novel challenges that arise from integrating computer vision and NLP. Additionally covered are data privacy, ethical issues, and the possibility of prejudice in AI applications. The study also highlights the ongoing need for these fields' advancement and investigation in order to solve real-world problems and fully utilize AI's potential in the computer vision and NLP industries.  2025 The Institute of Electrical and Electronics Engineers, Inc.</text>
            </elementText>
          </elementTextContainer>
        </element>
        <element elementId="39">
          <name>Creator</name>
          <description>An entity primarily responsible for making the resource</description>
          <elementTextContainer>
            <elementText elementTextId="146487">
              <text>Chinnaiyan B.; Balasubaramanian S.; Jeyabalu M.; Warrier G.S.</text>
            </elementText>
          </elementTextContainer>
        </element>
        <element elementId="48">
          <name>Source</name>
          <description>A related resource from which the described resource is derived</description>
          <elementTextContainer>
            <elementText elementTextId="146488">
              <text>Model Optimization Methods for Efficient and Edge AI: Federated Learning Architectures, Frameworks and Applications, pp. 25-41.</text>
            </elementText>
          </elementTextContainer>
        </element>
        <element elementId="45">
          <name>Publisher</name>
          <description>An entity responsible for making the resource available</description>
          <elementTextContainer>
            <elementText elementTextId="146489">
              <text>wiley</text>
            </elementText>
          </elementTextContainer>
        </element>
        <element elementId="40">
          <name>Date</name>
          <description>A point or period of time associated with an event in the lifecycle of the resource</description>
          <elementTextContainer>
            <elementText elementTextId="146490">
              <text>2024-01-01</text>
            </elementText>
          </elementTextContainer>
        </element>
        <element elementId="43">
          <name>Identifier</name>
          <description>An unambiguous reference to the resource within a given context</description>
          <elementTextContainer>
            <elementText elementTextId="146491">
              <text>&lt;a href="https://doi.org/10.1002/9781394219230.ch2" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1002/9781394219230.ch2&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85212719113&amp;amp;doi=10.1002%2F9781394219230.ch2&amp;amp;partnerID=40&amp;amp;md5=94a43226e23baab7ace490e957bf9b81" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85212719113&amp;amp;doi=10.1002%2f9781394219230.ch2&amp;amp;partnerID=40&amp;amp;md5=94a43226e23baab7ace490e957bf9b81&lt;/a&gt;</text>
            </elementText>
          </elementTextContainer>
        </element>
        <element elementId="47">
          <name>Rights</name>
          <description>Information about rights held in and over the resource</description>
          <elementTextContainer>
            <elementText elementTextId="146492">
              <text>Restricted Access</text>
            </elementText>
          </elementTextContainer>
        </element>
        <element elementId="46">
          <name>Relation</name>
          <description>A related resource</description>
          <elementTextContainer>
            <elementText elementTextId="146493">
              <text>ISBN: 978-139421923-0; 978-139421921-6</text>
            </elementText>
          </elementTextContainer>
        </element>
        <element elementId="42">
          <name>Format</name>
          <description>The file format, physical medium, or dimensions of the resource</description>
          <elementTextContainer>
            <elementText elementTextId="146494">
              <text>Online</text>
            </elementText>
          </elementTextContainer>
        </element>
        <element elementId="44">
          <name>Language</name>
          <description>A language of the resource</description>
          <elementTextContainer>
            <elementText elementTextId="146495">
              <text>English</text>
            </elementText>
          </elementTextContainer>
        </element>
        <element elementId="51">
          <name>Type</name>
          <description>The nature or genre of the resource</description>
          <elementTextContainer>
            <elementText elementTextId="146496">
              <text>Book chapter</text>
            </elementText>
          </elementTextContainer>
        </element>
        <element elementId="38">
          <name>Coverage</name>
          <description>The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant</description>
          <elementTextContainer>
            <elementText elementTextId="146497">
              <text>Chinnaiyan B., Department of Computer Science, CHRIST University, Karnataka, Bangalore, India; Balasubaramanian S., Department of Information Technology, University of Technology and Applied Sciences, Al Mussanah, Oman; Jeyabalu M., Department of Computer Science, CHRIST University, Karnataka, Bangalore, India; Warrier G.S., Department of Computer Science, CHRIST University, Karnataka, Bangalore, India</text>
            </elementText>
          </elementTextContainer>
        </element>
      </elementContainer>
    </elementSet>
  </elementSetContainer>
</item>
