<?xml version="1.0" encoding="UTF-8"?>
<rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns="http://purl.org/rss/1.0/" xmlns:taxo="http://purl.org/rss/1.0/modules/taxonomy/" xmlns:sy="http://purl.org/rss/1.0/modules/syndication/" xmlns:prism="http://prismstandard.org/namespaces/1.2/basic/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:rss="http://purl.org/rss/1.0/">
  <channel rdf:about="http://www.edpsciences.org/articles/itmconf/rss/TOCRSS/rss.xml">
    <title>Recent articles published in 'ITM Web of Conferences'</title>
    <link>https://www.itm-conferences.org</link>
    <description>Recent articles published in 'ITM Web of Conferences'</description>
    <items>
      <rdf:Seq>
        <rdf:li resource="https://www.itm-conferences.org/10.1051/itmconf/20268601001"/>
        <rdf:li resource="https://www.itm-conferences.org/10.1051/itmconf/20268601002"/>
        <rdf:li resource="https://www.itm-conferences.org/10.1051/itmconf/20268601003"/>
        <rdf:li resource="https://www.itm-conferences.org/10.1051/itmconf/20268601004"/>
        <rdf:li resource="https://www.itm-conferences.org/10.1051/itmconf/20268601005"/>
        <rdf:li resource="https://www.itm-conferences.org/10.1051/itmconf/20268601006"/>
        <rdf:li resource="https://www.itm-conferences.org/10.1051/itmconf/20268601007"/>
        <rdf:li resource="https://www.itm-conferences.org/10.1051/itmconf/20268601008"/>
        <rdf:li resource="https://www.itm-conferences.org/10.1051/itmconf/20268601009"/>
        <rdf:li resource="https://www.itm-conferences.org/10.1051/itmconf/20268601010"/>
        <rdf:li resource="https://www.itm-conferences.org/10.1051/itmconf/20268601011"/>
        <rdf:li resource="https://www.itm-conferences.org/10.1051/itmconf/20268601012"/>
        <rdf:li resource="https://www.itm-conferences.org/10.1051/itmconf/20268601013"/>
        <rdf:li resource="https://www.itm-conferences.org/10.1051/itmconf/20268601014"/>
        <rdf:li resource="https://www.itm-conferences.org/10.1051/itmconf/20268601015"/>
        <rdf:li resource="https://www.itm-conferences.org/10.1051/itmconf/20268601016"/>
        <rdf:li resource="https://www.itm-conferences.org/10.1051/itmconf/20268601017"/>
        <rdf:li resource="https://www.itm-conferences.org/10.1051/itmconf/20268601018"/>
        <rdf:li resource="https://www.itm-conferences.org/10.1051/itmconf/20268601019"/>
        <rdf:li resource="https://www.itm-conferences.org/10.1051/itmconf/20268601020"/>
        <rdf:li resource="https://www.itm-conferences.org/10.1051/itmconf/20268601021"/>
        <rdf:li resource="https://www.itm-conferences.org/10.1051/itmconf/20268601022"/>
        <rdf:li resource="https://www.itm-conferences.org/10.1051/itmconf/20268601023"/>
        <rdf:li resource="https://www.itm-conferences.org/10.1051/itmconf/20268601024"/>
        <rdf:li resource="https://www.itm-conferences.org/10.1051/itmconf/20268601025"/>
        <rdf:li resource="https://www.itm-conferences.org/10.1051/itmconf/20268602001"/>
        <rdf:li resource="https://www.itm-conferences.org/10.1051/itmconf/20268602002"/>
        <rdf:li resource="https://www.itm-conferences.org/10.1051/itmconf/20268602003"/>
        <rdf:li resource="https://www.itm-conferences.org/10.1051/itmconf/20268602004"/>
        <rdf:li resource="https://www.itm-conferences.org/10.1051/itmconf/20268603001"/>
        <rdf:li resource="https://www.itm-conferences.org/10.1051/itmconf/20268603002"/>
        <rdf:li resource="https://www.itm-conferences.org/10.1051/itmconf/20268603003"/>
        <rdf:li resource="https://www.itm-conferences.org/10.1051/itmconf/20268604001"/>
        <rdf:li resource="https://www.itm-conferences.org/10.1051/itmconf/20268604002"/>
        <rdf:li resource="https://www.itm-conferences.org/10.1051/itmconf/20268604003"/>
      </rdf:Seq>
    </items>
    <sy:updatePeriod>daily</sy:updatePeriod>
    <sy:updateFrequency>1</sy:updateFrequency>
    <sy:updateBase>2026-06-12T22:50:41Z</sy:updateBase>
    <dc:publisher>EDP Sciences</dc:publisher>
    <dc:rights>Copyright (c) EDP Sciences 2026</dc:rights>
    <prism:copyright>Copyright (c) EDP Sciences 2026</prism:copyright>
    <prism:issn>2271-2097</prism:issn>
    <prism:publicationName>ITM Web of Conferences</prism:publicationName>
  </channel>
  <rss:item rdf:about="https://www.itm-conferences.org/10.1051/itmconf/20268601001">
    <rss:title>Power Line Detection for Aerial Navigation Using Deep Learning</rss:title>
    <rss:link>https://www.itm-conferences.org/10.1051/itmconf/20268601001</rss:link>
    <rss:description>Authors: A.K. Chaudhuri, B.T. Hung,  Rahamatulla, Payel Sengupta, Tauseef Khan and Ayatullah Faruk Mollah.&lt;br /&gt;ITM Web of Conferences Vol. 86 , page 01001&lt;br /&gt;Published online: 05/06/2026</rss:description>
    <dc:title>Power Line Detection for Aerial Navigation Using Deep Learning</dc:title>
    <dc:creator>A.K. Chaudhuri</dc:creator>
    <dc:creator>B.T. Hung</dc:creator>
    <dc:creator> Rahamatulla</dc:creator>
    <dc:creator>Payel Sengupta</dc:creator>
    <dc:creator>Tauseef Khan</dc:creator>
    <dc:creator>Ayatullah Faruk Mollah</dc:creator>
    <dc:date>2026-06-05</dc:date>
    <dc:format>text/html</dc:format>
    <dc:identifier>10.1051/itmconf/20268601001</dc:identifier>
    <dc:source>ITM Web of Conferences  Vol. 86</dc:source>
    <prism:category>abstract</prism:category>
    <prism:issueIdentifier>itmconf/2026/06</prism:issueIdentifier>
    <prism:publicationDate>2026-06-05</prism:publicationDate>
    <prism:publicationName>ITM Web of Conferences</prism:publicationName>
    <prism:startingPage>01001</prism:startingPage>
    <prism:volume>86</prism:volume>
  </rss:item>
  <rss:item rdf:about="https://www.itm-conferences.org/10.1051/itmconf/20268601002">
    <rss:title>A Real-Time Camera-Based Color Vision Deficiency Assistance System Using Daltonization</rss:title>
    <rss:link>https://www.itm-conferences.org/10.1051/itmconf/20268601002</rss:link>
    <rss:description>Authors: A.K. Chaudhuri, B.T. Hung and Jairaj Chilukala.&lt;br /&gt;ITM Web of Conferences Vol. 86 , page 01002&lt;br /&gt;Published online: 05/06/2026</rss:description>
    <dc:title>A Real-Time Camera-Based Color Vision Deficiency Assistance System Using Daltonization</dc:title>
    <dc:creator>A.K. Chaudhuri</dc:creator>
    <dc:creator>B.T. Hung</dc:creator>
    <dc:creator>Jairaj Chilukala</dc:creator>
    <dc:date>2026-06-05</dc:date>
    <dc:format>text/html</dc:format>
    <dc:identifier>10.1051/itmconf/20268601002</dc:identifier>
    <dc:source>ITM Web of Conferences  Vol. 86</dc:source>
    <prism:category>abstract</prism:category>
    <prism:issueIdentifier>itmconf/2026/06</prism:issueIdentifier>
    <prism:publicationDate>2026-06-05</prism:publicationDate>
    <prism:publicationName>ITM Web of Conferences</prism:publicationName>
    <prism:startingPage>01002</prism:startingPage>
    <prism:volume>86</prism:volume>
  </rss:item>
  <rss:item rdf:about="https://www.itm-conferences.org/10.1051/itmconf/20268601003">
    <rss:title>Smart Farming Through Deep Learning: Automated Plant Disease Detection Using CNN Models</rss:title>
    <rss:link>https://www.itm-conferences.org/10.1051/itmconf/20268601003</rss:link>
    <rss:description>Authors: A.K. Chaudhuri, B.T. Hung, Swapna Vanguru, Ch. Sushma, V. Bhavani, Bontha Mamatha, B. Ramya Sree and K. Vishwambari.&lt;br /&gt;ITM Web of Conferences Vol. 86 , page 01003&lt;br /&gt;Published online: 05/06/2026&lt;br /&gt;
       Keywords:
       Smart Farming ; Plant Disease Detection ; Deep Learning ; Convolutional Neural Networks (CNNs) ; Image Classification.</rss:description>
    <dc:title>Smart Farming Through Deep Learning: Automated Plant Disease Detection Using CNN Models</dc:title>
    <dc:creator>A.K. Chaudhuri</dc:creator>
    <dc:creator>B.T. Hung</dc:creator>
    <dc:creator>Swapna Vanguru</dc:creator>
    <dc:creator>Ch. Sushma</dc:creator>
    <dc:creator>V. Bhavani</dc:creator>
    <dc:creator>Bontha Mamatha</dc:creator>
    <dc:creator>B. Ramya Sree</dc:creator>
    <dc:creator>K. Vishwambari</dc:creator>
    <dc:subject>Smart Farming</dc:subject>
    <dc:subject>Plant Disease Detection</dc:subject>
    <dc:subject>Deep Learning</dc:subject>
    <dc:subject>Convolutional Neural Networks (CNNs)</dc:subject>
    <dc:subject>Image Classification</dc:subject>
    <dc:date>2026-06-05</dc:date>
    <dc:format>text/html</dc:format>
    <dc:identifier>10.1051/itmconf/20268601003</dc:identifier>
    <dc:source>ITM Web of Conferences  Vol. 86</dc:source>
    <prism:category>abstract</prism:category>
    <prism:issueIdentifier>itmconf/2026/06</prism:issueIdentifier>
    <prism:publicationDate>2026-06-05</prism:publicationDate>
    <prism:publicationName>ITM Web of Conferences</prism:publicationName>
    <prism:startingPage>01003</prism:startingPage>
    <prism:volume>86</prism:volume>
  </rss:item>
  <rss:item rdf:about="https://www.itm-conferences.org/10.1051/itmconf/20268601004">
    <rss:title>AI-Driven Human-Robot Collaboration for Autonomous Healthcare Systems in Life Science</rss:title>
    <rss:link>https://www.itm-conferences.org/10.1051/itmconf/20268601004</rss:link>
    <rss:description>Authors: A.K. Chaudhuri, B.T. Hung, Omprakash Dewangan and Jainish Roy.&lt;br /&gt;ITM Web of Conferences Vol. 86 , page 01004&lt;br /&gt;Published online: 05/06/2026&lt;br /&gt;
       Keywords:
       Human–Robot Collaboration ; Autonomous ; Healthcare Systems ; Life Science ; AI ; Robotics.</rss:description>
    <dc:title>AI-Driven Human-Robot Collaboration for Autonomous Healthcare Systems in Life Science</dc:title>
    <dc:creator>A.K. Chaudhuri</dc:creator>
    <dc:creator>B.T. Hung</dc:creator>
    <dc:creator>Omprakash Dewangan</dc:creator>
    <dc:creator>Jainish Roy</dc:creator>
    <dc:subject>Human–Robot Collaboration</dc:subject>
    <dc:subject>Autonomous</dc:subject>
    <dc:subject>Healthcare Systems</dc:subject>
    <dc:subject>Life Science</dc:subject>
    <dc:subject>AI</dc:subject>
    <dc:subject>Robotics</dc:subject>
    <dc:date>2026-06-05</dc:date>
    <dc:format>text/html</dc:format>
    <dc:identifier>10.1051/itmconf/20268601004</dc:identifier>
    <dc:source>ITM Web of Conferences  Vol. 86</dc:source>
    <prism:category>abstract</prism:category>
    <prism:issueIdentifier>itmconf/2026/06</prism:issueIdentifier>
    <prism:publicationDate>2026-06-05</prism:publicationDate>
    <prism:publicationName>ITM Web of Conferences</prism:publicationName>
    <prism:startingPage>01004</prism:startingPage>
    <prism:volume>86</prism:volume>
  </rss:item>
  <rss:item rdf:about="https://www.itm-conferences.org/10.1051/itmconf/20268601005">
    <rss:title>Sustainable and Trustworthy AI for Business Intelligence and Financial Decision-Making in the Digital Era</rss:title>
    <rss:link>https://www.itm-conferences.org/10.1051/itmconf/20268601005</rss:link>
    <rss:description>Authors: A.K. Chaudhuri, B.T. Hung, Lalit Sachdeva and Utkarsh Anand.&lt;br /&gt;ITM Web of Conferences Vol. 86 , page 01005&lt;br /&gt;Published online: 05/06/2026&lt;br /&gt;
       Keywords:
       Sustainable AI ; Trustworthy AI ; Business Intelligence ; Financial Decision-Making ; Ethical AI.</rss:description>
    <dc:title>Sustainable and Trustworthy AI for Business Intelligence and Financial Decision-Making in the Digital Era</dc:title>
    <dc:creator>A.K. Chaudhuri</dc:creator>
    <dc:creator>B.T. Hung</dc:creator>
    <dc:creator>Lalit Sachdeva</dc:creator>
    <dc:creator>Utkarsh Anand</dc:creator>
    <dc:subject>Sustainable AI</dc:subject>
    <dc:subject>Trustworthy AI</dc:subject>
    <dc:subject>Business Intelligence</dc:subject>
    <dc:subject>Financial Decision-Making</dc:subject>
    <dc:subject>Ethical AI</dc:subject>
    <dc:date>2026-06-05</dc:date>
    <dc:format>text/html</dc:format>
    <dc:identifier>10.1051/itmconf/20268601005</dc:identifier>
    <dc:source>ITM Web of Conferences  Vol. 86</dc:source>
    <prism:category>abstract</prism:category>
    <prism:issueIdentifier>itmconf/2026/06</prism:issueIdentifier>
    <prism:publicationDate>2026-06-05</prism:publicationDate>
    <prism:publicationName>ITM Web of Conferences</prism:publicationName>
    <prism:startingPage>01005</prism:startingPage>
    <prism:volume>86</prism:volume>
  </rss:item>
  <rss:item rdf:about="https://www.itm-conferences.org/10.1051/itmconf/20268601006">
    <rss:title>Advancing AI for NLP to Improve Contextual Understanding and Human-Computer Interaction</rss:title>
    <rss:link>https://www.itm-conferences.org/10.1051/itmconf/20268601006</rss:link>
    <rss:description>Authors: A.K. Chaudhuri, B.T. Hung, Roohee Khan and Anjali Goswami.&lt;br /&gt;ITM Web of Conferences Vol. 86 , page 01006&lt;br /&gt;Published online: 05/06/2026</rss:description>
    <dc:title>Advancing AI for NLP to Improve Contextual Understanding and Human-Computer Interaction</dc:title>
    <dc:creator>A.K. Chaudhuri</dc:creator>
    <dc:creator>B.T. Hung</dc:creator>
    <dc:creator>Roohee Khan</dc:creator>
    <dc:creator>Anjali Goswami</dc:creator>
    <dc:date>2026-06-05</dc:date>
    <dc:format>text/html</dc:format>
    <dc:identifier>10.1051/itmconf/20268601006</dc:identifier>
    <dc:source>ITM Web of Conferences  Vol. 86</dc:source>
    <prism:category>abstract</prism:category>
    <prism:issueIdentifier>itmconf/2026/06</prism:issueIdentifier>
    <prism:publicationDate>2026-06-05</prism:publicationDate>
    <prism:publicationName>ITM Web of Conferences</prism:publicationName>
    <prism:startingPage>01006</prism:startingPage>
    <prism:volume>86</prism:volume>
  </rss:item>
  <rss:item rdf:about="https://www.itm-conferences.org/10.1051/itmconf/20268601007">
    <rss:title>A Sustainable Artificial Intelligence Framework for Early Identification of Eating Disorder Risk Factors</rss:title>
    <rss:link>https://www.itm-conferences.org/10.1051/itmconf/20268601007</rss:link>
    <rss:description>Authors: A.K. Chaudhuri, B.T. Hung, Prashnatita Pal, Rituparna Bhattacharya, Diganta Roy, Ritidrita Dhara and Sagnik Ghatak.&lt;br /&gt;ITM Web of Conferences Vol. 86 , page 01007&lt;br /&gt;Published online: 05/06/2026</rss:description>
    <dc:title>A Sustainable Artificial Intelligence Framework for Early Identification of Eating Disorder Risk Factors</dc:title>
    <dc:creator>A.K. Chaudhuri</dc:creator>
    <dc:creator>B.T. Hung</dc:creator>
    <dc:creator>Prashnatita Pal</dc:creator>
    <dc:creator>Rituparna Bhattacharya</dc:creator>
    <dc:creator>Diganta Roy</dc:creator>
    <dc:creator>Ritidrita Dhara</dc:creator>
    <dc:creator>Sagnik Ghatak</dc:creator>
    <dc:date>2026-06-05</dc:date>
    <dc:format>text/html</dc:format>
    <dc:identifier>10.1051/itmconf/20268601007</dc:identifier>
    <dc:source>ITM Web of Conferences  Vol. 86</dc:source>
    <prism:category>abstract</prism:category>
    <prism:issueIdentifier>itmconf/2026/06</prism:issueIdentifier>
    <prism:publicationDate>2026-06-05</prism:publicationDate>
    <prism:publicationName>ITM Web of Conferences</prism:publicationName>
    <prism:startingPage>01007</prism:startingPage>
    <prism:volume>86</prism:volume>
  </rss:item>
  <rss:item rdf:about="https://www.itm-conferences.org/10.1051/itmconf/20268601008">
    <rss:title>Resume2Role: Intelligent Resume Parsing and Domain Prediction Using NLP and Classification Models</rss:title>
    <rss:link>https://www.itm-conferences.org/10.1051/itmconf/20268601008</rss:link>
    <rss:description>Authors: A.K. Chaudhuri, B.T. Hung, Abhinav Dubey, Namrata Dhanda, Arvind Lovewanshi and Vandana Yadav.&lt;br /&gt;ITM Web of Conferences Vol. 86 , page 01008&lt;br /&gt;Published online: 05/06/2026&lt;br /&gt;
       Keywords:
       Resume Classification ; Job Role Prediction ; Natural Language Processing ; TF-IDF ; Random Forest ; Web Application ; Flask ; Machine Learning ; Human Resource Automation ; Text Mining.</rss:description>
    <dc:title>Resume2Role: Intelligent Resume Parsing and Domain Prediction Using NLP and Classification Models</dc:title>
    <dc:creator>A.K. Chaudhuri</dc:creator>
    <dc:creator>B.T. Hung</dc:creator>
    <dc:creator>Abhinav Dubey</dc:creator>
    <dc:creator>Namrata Dhanda</dc:creator>
    <dc:creator>Arvind Lovewanshi</dc:creator>
    <dc:creator>Vandana Yadav</dc:creator>
    <dc:subject>Resume Classification</dc:subject>
    <dc:subject>Job Role Prediction</dc:subject>
    <dc:subject>Natural Language Processing</dc:subject>
    <dc:subject>TF-IDF</dc:subject>
    <dc:subject>Random Forest</dc:subject>
    <dc:subject>Web Application</dc:subject>
    <dc:subject>Flask</dc:subject>
    <dc:subject>Machine Learning</dc:subject>
    <dc:subject>Human Resource Automation</dc:subject>
    <dc:subject>Text Mining</dc:subject>
    <dc:date>2026-06-05</dc:date>
    <dc:format>text/html</dc:format>
    <dc:identifier>10.1051/itmconf/20268601008</dc:identifier>
    <dc:source>ITM Web of Conferences  Vol. 86</dc:source>
    <prism:category>abstract</prism:category>
    <prism:issueIdentifier>itmconf/2026/06</prism:issueIdentifier>
    <prism:publicationDate>2026-06-05</prism:publicationDate>
    <prism:publicationName>ITM Web of Conferences</prism:publicationName>
    <prism:startingPage>01008</prism:startingPage>
    <prism:volume>86</prism:volume>
  </rss:item>
  <rss:item rdf:about="https://www.itm-conferences.org/10.1051/itmconf/20268601009">
    <rss:title>Gene Expression-Based Cancer Classification using Machine Learning</rss:title>
    <rss:link>https://www.itm-conferences.org/10.1051/itmconf/20268601009</rss:link>
    <rss:description>Authors: A.K. Chaudhuri, B.T. Hung, Pakhi Sharma, Namrata Dhanda and Vandana Yadav.&lt;br /&gt;ITM Web of Conferences Vol. 86 , page 01009&lt;br /&gt;Published online: 05/06/2026&lt;br /&gt;
       Keywords:
       Gene Expression data ; Breast Cancer Classification ; Random Forest ; Imperative SVD ; Mutual Information Maximization(MIM) ; Adaptive Genetic Algorithm(AGA).</rss:description>
    <dc:title>Gene Expression-Based Cancer Classification using Machine Learning</dc:title>
    <dc:creator>A.K. Chaudhuri</dc:creator>
    <dc:creator>B.T. Hung</dc:creator>
    <dc:creator>Pakhi Sharma</dc:creator>
    <dc:creator>Namrata Dhanda</dc:creator>
    <dc:creator>Vandana Yadav</dc:creator>
    <dc:subject>Gene Expression data</dc:subject>
    <dc:subject>Breast Cancer Classification</dc:subject>
    <dc:subject>Random Forest</dc:subject>
    <dc:subject>Imperative SVD</dc:subject>
    <dc:subject>Mutual Information Maximization(MIM)</dc:subject>
    <dc:subject>Adaptive Genetic Algorithm(AGA)</dc:subject>
    <dc:date>2026-06-05</dc:date>
    <dc:format>text/html</dc:format>
    <dc:identifier>10.1051/itmconf/20268601009</dc:identifier>
    <dc:source>ITM Web of Conferences  Vol. 86</dc:source>
    <prism:category>abstract</prism:category>
    <prism:issueIdentifier>itmconf/2026/06</prism:issueIdentifier>
    <prism:publicationDate>2026-06-05</prism:publicationDate>
    <prism:publicationName>ITM Web of Conferences</prism:publicationName>
    <prism:startingPage>01009</prism:startingPage>
    <prism:volume>86</prism:volume>
  </rss:item>
  <rss:item rdf:about="https://www.itm-conferences.org/10.1051/itmconf/20268601010">
    <rss:title>Image Analysis and Detection Using Advanced Machine Learning and Convolutional Neural Network Models</rss:title>
    <rss:link>https://www.itm-conferences.org/10.1051/itmconf/20268601010</rss:link>
    <rss:description>Authors: A.K. Chaudhuri, B.T. Hung, Srelekha Paul, Sonu Rana, Sanjay Kumar, Souradip Maity, Sanchita Koley and Aman Prasad.&lt;br /&gt;ITM Web of Conferences Vol. 86 , page 01010&lt;br /&gt;Published online: 05/06/2026&lt;br /&gt;
       Keywords:
       Convolutional Neural Network (CNN) ; TensorFlow ; Data augmentation ; Machine learning ; Image Processing.</rss:description>
    <dc:title>Image Analysis and Detection Using Advanced Machine Learning and Convolutional Neural Network Models</dc:title>
    <dc:creator>A.K. Chaudhuri</dc:creator>
    <dc:creator>B.T. Hung</dc:creator>
    <dc:creator>Srelekha Paul</dc:creator>
    <dc:creator>Sonu Rana</dc:creator>
    <dc:creator>Sanjay Kumar</dc:creator>
    <dc:creator>Souradip Maity</dc:creator>
    <dc:creator>Sanchita Koley</dc:creator>
    <dc:creator>Aman Prasad</dc:creator>
    <dc:subject>Convolutional Neural Network (CNN)</dc:subject>
    <dc:subject>TensorFlow</dc:subject>
    <dc:subject>Data augmentation</dc:subject>
    <dc:subject>Machine learning</dc:subject>
    <dc:subject>Image Processing</dc:subject>
    <dc:date>2026-06-05</dc:date>
    <dc:format>text/html</dc:format>
    <dc:identifier>10.1051/itmconf/20268601010</dc:identifier>
    <dc:source>ITM Web of Conferences  Vol. 86</dc:source>
    <prism:category>abstract</prism:category>
    <prism:issueIdentifier>itmconf/2026/06</prism:issueIdentifier>
    <prism:publicationDate>2026-06-05</prism:publicationDate>
    <prism:publicationName>ITM Web of Conferences</prism:publicationName>
    <prism:startingPage>01010</prism:startingPage>
    <prism:volume>86</prism:volume>
  </rss:item>
  <rss:item rdf:about="https://www.itm-conferences.org/10.1051/itmconf/20268601011">
    <rss:title>An Interpretable Siamese Bi-LSTM Framework for Addressing Class Imbalance in the Detection of False Reviews</rss:title>
    <rss:link>https://www.itm-conferences.org/10.1051/itmconf/20268601011</rss:link>
    <rss:description>Authors: A.K. Chaudhuri, B.T. Hung, Abhishek Jakhar and Ajay Indian.&lt;br /&gt;ITM Web of Conferences Vol. 86 , page 01011&lt;br /&gt;Published online: 05/06/2026</rss:description>
    <dc:title>An Interpretable Siamese Bi-LSTM Framework for Addressing Class Imbalance in the Detection of False Reviews</dc:title>
    <dc:creator>A.K. Chaudhuri</dc:creator>
    <dc:creator>B.T. Hung</dc:creator>
    <dc:creator>Abhishek Jakhar</dc:creator>
    <dc:creator>Ajay Indian</dc:creator>
    <dc:date>2026-06-05</dc:date>
    <dc:format>text/html</dc:format>
    <dc:identifier>10.1051/itmconf/20268601011</dc:identifier>
    <dc:source>ITM Web of Conferences  Vol. 86</dc:source>
    <prism:category>abstract</prism:category>
    <prism:issueIdentifier>itmconf/2026/06</prism:issueIdentifier>
    <prism:publicationDate>2026-06-05</prism:publicationDate>
    <prism:publicationName>ITM Web of Conferences</prism:publicationName>
    <prism:startingPage>01011</prism:startingPage>
    <prism:volume>86</prism:volume>
  </rss:item>
  <rss:item rdf:about="https://www.itm-conferences.org/10.1051/itmconf/20268601012">
    <rss:title>Mental Health Correlates of PCOD in Indian Women: A Machine Learning-Based Predictive Approach</rss:title>
    <rss:link>https://www.itm-conferences.org/10.1051/itmconf/20268601012</rss:link>
    <rss:description>Authors: A.K. Chaudhuri, B.T. Hung, Ria Pyne, Arundhati Roy, Ahona Ghosh, Kamolika Sarkar Puja, Biswajit Chakraborty and Saikat Das.&lt;br /&gt;ITM Web of Conferences Vol. 86 , page 01012&lt;br /&gt;Published online: 05/06/2026</rss:description>
    <dc:title>Mental Health Correlates of PCOD in Indian Women: A Machine Learning-Based Predictive Approach</dc:title>
    <dc:creator>A.K. Chaudhuri</dc:creator>
    <dc:creator>B.T. Hung</dc:creator>
    <dc:creator>Ria Pyne</dc:creator>
    <dc:creator>Arundhati Roy</dc:creator>
    <dc:creator>Ahona Ghosh</dc:creator>
    <dc:creator>Kamolika Sarkar Puja</dc:creator>
    <dc:creator>Biswajit Chakraborty</dc:creator>
    <dc:creator>Saikat Das</dc:creator>
    <dc:date>2026-06-05</dc:date>
    <dc:format>text/html</dc:format>
    <dc:identifier>10.1051/itmconf/20268601012</dc:identifier>
    <dc:source>ITM Web of Conferences  Vol. 86</dc:source>
    <prism:category>abstract</prism:category>
    <prism:issueIdentifier>itmconf/2026/06</prism:issueIdentifier>
    <prism:publicationDate>2026-06-05</prism:publicationDate>
    <prism:publicationName>ITM Web of Conferences</prism:publicationName>
    <prism:startingPage>01012</prism:startingPage>
    <prism:volume>86</prism:volume>
  </rss:item>
  <rss:item rdf:about="https://www.itm-conferences.org/10.1051/itmconf/20268601013">
    <rss:title>A Lightweight and Explainable Machine Learning Framework for Cervical Cancer Risk Prediction</rss:title>
    <rss:link>https://www.itm-conferences.org/10.1051/itmconf/20268601013</rss:link>
    <rss:description>Authors: A.K. Chaudhuri, B.T. Hung, Mithun Biswas, Avijit Kumar Chaudhuri, Sushmita Chaudhari and Subhankar Shome.&lt;br /&gt;ITM Web of Conferences Vol. 86 , page 01013&lt;br /&gt;Published online: 05/06/2026&lt;br /&gt;
       Keywords:
       Cervical cancer ; machine learning ; lightweight models ; explainable AI ; healthcare analytics.</rss:description>
    <dc:title>A Lightweight and Explainable Machine Learning Framework for Cervical Cancer Risk Prediction</dc:title>
    <dc:creator>A.K. Chaudhuri</dc:creator>
    <dc:creator>B.T. Hung</dc:creator>
    <dc:creator>Mithun Biswas</dc:creator>
    <dc:creator>Avijit Kumar Chaudhuri</dc:creator>
    <dc:creator>Sushmita Chaudhari</dc:creator>
    <dc:creator>Subhankar Shome</dc:creator>
    <dc:subject>Cervical cancer</dc:subject>
    <dc:subject>machine learning</dc:subject>
    <dc:subject>lightweight models</dc:subject>
    <dc:subject>explainable AI</dc:subject>
    <dc:subject>healthcare analytics</dc:subject>
    <dc:date>2026-06-05</dc:date>
    <dc:format>text/html</dc:format>
    <dc:identifier>10.1051/itmconf/20268601013</dc:identifier>
    <dc:source>ITM Web of Conferences  Vol. 86</dc:source>
    <prism:category>abstract</prism:category>
    <prism:issueIdentifier>itmconf/2026/06</prism:issueIdentifier>
    <prism:publicationDate>2026-06-05</prism:publicationDate>
    <prism:publicationName>ITM Web of Conferences</prism:publicationName>
    <prism:startingPage>01013</prism:startingPage>
    <prism:volume>86</prism:volume>
  </rss:item>
  <rss:item rdf:about="https://www.itm-conferences.org/10.1051/itmconf/20268601014">
    <rss:title>Hybrid CNN–ILSTM Framework for Air Quality Index Prediction Using Machine Learning and Deep Learning Models</rss:title>
    <rss:link>https://www.itm-conferences.org/10.1051/itmconf/20268601014</rss:link>
    <rss:description>Authors: A.K. Chaudhuri, B.T. Hung, Shankar Prasad Mitra and Shuvendu Das.&lt;br /&gt;ITM Web of Conferences Vol. 86 , page 01014&lt;br /&gt;Published online: 05/06/2026</rss:description>
    <dc:title>Hybrid CNN–ILSTM Framework for Air Quality Index Prediction Using Machine Learning and Deep Learning Models</dc:title>
    <dc:creator>A.K. Chaudhuri</dc:creator>
    <dc:creator>B.T. Hung</dc:creator>
    <dc:creator>Shankar Prasad Mitra</dc:creator>
    <dc:creator>Shuvendu Das</dc:creator>
    <dc:date>2026-06-05</dc:date>
    <dc:format>text/html</dc:format>
    <dc:identifier>10.1051/itmconf/20268601014</dc:identifier>
    <dc:source>ITM Web of Conferences  Vol. 86</dc:source>
    <prism:category>abstract</prism:category>
    <prism:issueIdentifier>itmconf/2026/06</prism:issueIdentifier>
    <prism:publicationDate>2026-06-05</prism:publicationDate>
    <prism:publicationName>ITM Web of Conferences</prism:publicationName>
    <prism:startingPage>01014</prism:startingPage>
    <prism:volume>86</prism:volume>
  </rss:item>
  <rss:item rdf:about="https://www.itm-conferences.org/10.1051/itmconf/20268601015">
    <rss:title>Hybrid CNN Model for Detection of Diseases in Leafy Plants</rss:title>
    <rss:link>https://www.itm-conferences.org/10.1051/itmconf/20268601015</rss:link>
    <rss:description>Authors: A.K. Chaudhuri, B.T. Hung, Sonu Rana, Sreelekha Paul, Shivnath Ghosh, Sanjay Kumar, Bilwamoy Chakraborty and Srijata Moitra.&lt;br /&gt;ITM Web of Conferences Vol. 86 , page 01015&lt;br /&gt;Published online: 05/06/2026&lt;br /&gt;
       Keywords:
       CNN ; Classification ; Disease Detection ; XGBoost ; VGG16 ; MobileNet V2 ; Image Processing ; Image Detection.</rss:description>
    <dc:title>Hybrid CNN Model for Detection of Diseases in Leafy Plants</dc:title>
    <dc:creator>A.K. Chaudhuri</dc:creator>
    <dc:creator>B.T. Hung</dc:creator>
    <dc:creator>Sonu Rana</dc:creator>
    <dc:creator>Sreelekha Paul</dc:creator>
    <dc:creator>Shivnath Ghosh</dc:creator>
    <dc:creator>Sanjay Kumar</dc:creator>
    <dc:creator>Bilwamoy Chakraborty</dc:creator>
    <dc:creator>Srijata Moitra</dc:creator>
    <dc:subject>CNN</dc:subject>
    <dc:subject>Classification</dc:subject>
    <dc:subject>Disease Detection</dc:subject>
    <dc:subject>XGBoost</dc:subject>
    <dc:subject>VGG16</dc:subject>
    <dc:subject>MobileNet V2</dc:subject>
    <dc:subject>Image Processing</dc:subject>
    <dc:subject>Image Detection</dc:subject>
    <dc:date>2026-06-05</dc:date>
    <dc:format>text/html</dc:format>
    <dc:identifier>10.1051/itmconf/20268601015</dc:identifier>
    <dc:source>ITM Web of Conferences  Vol. 86</dc:source>
    <prism:category>abstract</prism:category>
    <prism:issueIdentifier>itmconf/2026/06</prism:issueIdentifier>
    <prism:publicationDate>2026-06-05</prism:publicationDate>
    <prism:publicationName>ITM Web of Conferences</prism:publicationName>
    <prism:startingPage>01015</prism:startingPage>
    <prism:volume>86</prism:volume>
  </rss:item>
  <rss:item rdf:about="https://www.itm-conferences.org/10.1051/itmconf/20268601016">
    <rss:title>Speaking to the Self: An Audio-First Journaling Platform for Private Emotional Processing</rss:title>
    <rss:link>https://www.itm-conferences.org/10.1051/itmconf/20268601016</rss:link>
    <rss:description>Authors: A.K. Chaudhuri, B.T. Hung, Rohit Srivasatava, Namrata Dhanda and Vandana Yadav.&lt;br /&gt;ITM Web of Conferences Vol. 86 , page 01016&lt;br /&gt;Published online: 05/06/2026&lt;br /&gt;
       Keywords:
       NLP Processing ; Emotion detection ; Audio based Journaling.</rss:description>
    <dc:title>Speaking to the Self: An Audio-First Journaling Platform for Private Emotional Processing</dc:title>
    <dc:creator>A.K. Chaudhuri</dc:creator>
    <dc:creator>B.T. Hung</dc:creator>
    <dc:creator>Rohit Srivasatava</dc:creator>
    <dc:creator>Namrata Dhanda</dc:creator>
    <dc:creator>Vandana Yadav</dc:creator>
    <dc:subject>NLP Processing</dc:subject>
    <dc:subject>Emotion detection</dc:subject>
    <dc:subject>Audio based Journaling</dc:subject>
    <dc:date>2026-06-05</dc:date>
    <dc:format>text/html</dc:format>
    <dc:identifier>10.1051/itmconf/20268601016</dc:identifier>
    <dc:source>ITM Web of Conferences  Vol. 86</dc:source>
    <prism:category>abstract</prism:category>
    <prism:issueIdentifier>itmconf/2026/06</prism:issueIdentifier>
    <prism:publicationDate>2026-06-05</prism:publicationDate>
    <prism:publicationName>ITM Web of Conferences</prism:publicationName>
    <prism:startingPage>01016</prism:startingPage>
    <prism:volume>86</prism:volume>
  </rss:item>
  <rss:item rdf:about="https://www.itm-conferences.org/10.1051/itmconf/20268601017">
    <rss:title>Recent Trends in Data-Efficient Scene Text Recognition: A Survey on Zero-Shot and Few-Shot Learning</rss:title>
    <rss:link>https://www.itm-conferences.org/10.1051/itmconf/20268601017</rss:link>
    <rss:description>Authors: A.K. Chaudhuri, B.T. Hung, Shibam Karmakar, Shreyasi Nayak, Payel Sengupta, Dipankar Barik, Ritu Mukherjee, Prerana Dey and Atanu Kumar Das.&lt;br /&gt;ITM Web of Conferences Vol. 86 , page 01017&lt;br /&gt;Published online: 05/06/2026&lt;br /&gt;
       Keywords:
       Scene Text Recognition ; Zero-Shot Learning ; Few-Shot Learning ; OCR ; Meta-Learning ; Semantic Embedding ; Vision-Language Models ; GANs ; Data-Efficient Learning.</rss:description>
    <dc:title>Recent Trends in Data-Efficient Scene Text Recognition: A Survey on Zero-Shot and Few-Shot Learning</dc:title>
    <dc:creator>A.K. Chaudhuri</dc:creator>
    <dc:creator>B.T. Hung</dc:creator>
    <dc:creator>Shibam Karmakar</dc:creator>
    <dc:creator>Shreyasi Nayak</dc:creator>
    <dc:creator>Payel Sengupta</dc:creator>
    <dc:creator>Dipankar Barik</dc:creator>
    <dc:creator>Ritu Mukherjee</dc:creator>
    <dc:creator>Prerana Dey</dc:creator>
    <dc:creator>Atanu Kumar Das</dc:creator>
    <dc:subject>Scene Text Recognition</dc:subject>
    <dc:subject>Zero-Shot Learning</dc:subject>
    <dc:subject>Few-Shot Learning</dc:subject>
    <dc:subject>OCR</dc:subject>
    <dc:subject>Meta-Learning</dc:subject>
    <dc:subject>Semantic Embedding</dc:subject>
    <dc:subject>Vision-Language Models</dc:subject>
    <dc:subject>GANs</dc:subject>
    <dc:subject>Data-Efficient Learning</dc:subject>
    <dc:date>2026-06-05</dc:date>
    <dc:format>text/html</dc:format>
    <dc:identifier>10.1051/itmconf/20268601017</dc:identifier>
    <dc:source>ITM Web of Conferences  Vol. 86</dc:source>
    <prism:category>abstract</prism:category>
    <prism:issueIdentifier>itmconf/2026/06</prism:issueIdentifier>
    <prism:publicationDate>2026-06-05</prism:publicationDate>
    <prism:publicationName>ITM Web of Conferences</prism:publicationName>
    <prism:startingPage>01017</prism:startingPage>
    <prism:volume>86</prism:volume>
  </rss:item>
  <rss:item rdf:about="https://www.itm-conferences.org/10.1051/itmconf/20268601018">
    <rss:title>A comprehensive machine learning approach for early detection of cardiovascular diseases using machine learning techniques</rss:title>
    <rss:link>https://www.itm-conferences.org/10.1051/itmconf/20268601018</rss:link>
    <rss:description>Authors: A.K. Chaudhuri, B.T. Hung, Sanjib Bayen, Subhradeep Maji, Mafijur Mir, Sangeeta Panja, Payel Sengupta, Ranjan Banerjee and Avijit Kumar Chaudhuri.&lt;br /&gt;ITM Web of Conferences Vol. 86 , page 01018&lt;br /&gt;Published online: 05/06/2026&lt;br /&gt;
       Keywords:
       Cardiovascular disease prediction ; ensemble learning ; Borderline-SMOTE2 ; Framingham Heart Study ; class imbalance ; hyperparameter tuning ; AdaBoost ; Random Forest ; clinical decision support.</rss:description>
    <dc:title>A comprehensive machine learning approach for early detection of cardiovascular diseases using machine learning techniques</dc:title>
    <dc:creator>A.K. Chaudhuri</dc:creator>
    <dc:creator>B.T. Hung</dc:creator>
    <dc:creator>Sanjib Bayen</dc:creator>
    <dc:creator>Subhradeep Maji</dc:creator>
    <dc:creator>Mafijur Mir</dc:creator>
    <dc:creator>Sangeeta Panja</dc:creator>
    <dc:creator>Payel Sengupta</dc:creator>
    <dc:creator>Ranjan Banerjee</dc:creator>
    <dc:creator>Avijit Kumar Chaudhuri</dc:creator>
    <dc:subject>Cardiovascular disease prediction</dc:subject>
    <dc:subject>ensemble learning</dc:subject>
    <dc:subject>Borderline-SMOTE2</dc:subject>
    <dc:subject>Framingham Heart Study</dc:subject>
    <dc:subject>class imbalance</dc:subject>
    <dc:subject>hyperparameter tuning</dc:subject>
    <dc:subject>AdaBoost</dc:subject>
    <dc:subject>Random Forest</dc:subject>
    <dc:subject>clinical decision support</dc:subject>
    <dc:date>2026-06-05</dc:date>
    <dc:format>text/html</dc:format>
    <dc:identifier>10.1051/itmconf/20268601018</dc:identifier>
    <dc:source>ITM Web of Conferences  Vol. 86</dc:source>
    <prism:category>abstract</prism:category>
    <prism:issueIdentifier>itmconf/2026/06</prism:issueIdentifier>
    <prism:publicationDate>2026-06-05</prism:publicationDate>
    <prism:publicationName>ITM Web of Conferences</prism:publicationName>
    <prism:startingPage>01018</prism:startingPage>
    <prism:volume>86</prism:volume>
  </rss:item>
  <rss:item rdf:about="https://www.itm-conferences.org/10.1051/itmconf/20268601019">
    <rss:title>Context-Aware AI System for Dynamic Diet Recommendation and Health Monitoring</rss:title>
    <rss:link>https://www.itm-conferences.org/10.1051/itmconf/20268601019</rss:link>
    <rss:description>Authors: A.K. Chaudhuri, B.T. Hung, Srijata Moitra, Ria Pyne, Ranjan Banerjee, Payel Sengupta and Avijit Kumar Chaudhuri.&lt;br /&gt;ITM Web of Conferences Vol. 86 , page 01019&lt;br /&gt;Published online: 05/06/2026</rss:description>
    <dc:title>Context-Aware AI System for Dynamic Diet Recommendation and Health Monitoring</dc:title>
    <dc:creator>A.K. Chaudhuri</dc:creator>
    <dc:creator>B.T. Hung</dc:creator>
    <dc:creator>Srijata Moitra</dc:creator>
    <dc:creator>Ria Pyne</dc:creator>
    <dc:creator>Ranjan Banerjee</dc:creator>
    <dc:creator>Payel Sengupta</dc:creator>
    <dc:creator>Avijit Kumar Chaudhuri</dc:creator>
    <dc:date>2026-06-05</dc:date>
    <dc:format>text/html</dc:format>
    <dc:identifier>10.1051/itmconf/20268601019</dc:identifier>
    <dc:source>ITM Web of Conferences  Vol. 86</dc:source>
    <prism:category>abstract</prism:category>
    <prism:issueIdentifier>itmconf/2026/06</prism:issueIdentifier>
    <prism:publicationDate>2026-06-05</prism:publicationDate>
    <prism:publicationName>ITM Web of Conferences</prism:publicationName>
    <prism:startingPage>01019</prism:startingPage>
    <prism:volume>86</prism:volume>
  </rss:item>
  <rss:item rdf:about="https://www.itm-conferences.org/10.1051/itmconf/20268601020">
    <rss:title>Deep Learning Aided Dynamic Clustering for White Blood Cell Segmentation Using Enhanced Fuzzy C-Means Optimization</rss:title>
    <rss:link>https://www.itm-conferences.org/10.1051/itmconf/20268601020</rss:link>
    <rss:description>Authors: A.K. Chaudhuri, B.T. Hung, Daizy Deb, Avijit Kumar Chaudhuri and Sannik Garai.&lt;br /&gt;ITM Web of Conferences Vol. 86 , page 01020&lt;br /&gt;Published online: 05/06/2026</rss:description>
    <dc:title>Deep Learning Aided Dynamic Clustering for White Blood Cell Segmentation Using Enhanced Fuzzy C-Means Optimization</dc:title>
    <dc:creator>A.K. Chaudhuri</dc:creator>
    <dc:creator>B.T. Hung</dc:creator>
    <dc:creator>Daizy Deb</dc:creator>
    <dc:creator>Avijit Kumar Chaudhuri</dc:creator>
    <dc:creator>Sannik Garai</dc:creator>
    <dc:date>2026-06-05</dc:date>
    <dc:format>text/html</dc:format>
    <dc:identifier>10.1051/itmconf/20268601020</dc:identifier>
    <dc:source>ITM Web of Conferences  Vol. 86</dc:source>
    <prism:category>abstract</prism:category>
    <prism:issueIdentifier>itmconf/2026/06</prism:issueIdentifier>
    <prism:publicationDate>2026-06-05</prism:publicationDate>
    <prism:publicationName>ITM Web of Conferences</prism:publicationName>
    <prism:startingPage>01020</prism:startingPage>
    <prism:volume>86</prism:volume>
  </rss:item>
  <rss:item rdf:about="https://www.itm-conferences.org/10.1051/itmconf/20268601021">
    <rss:title>Hybrid User-LLM: Bridging Sequential Embeddings and Text Summarization for Universal Sequential Recommendation</rss:title>
    <rss:link>https://www.itm-conferences.org/10.1051/itmconf/20268601021</rss:link>
    <rss:description>Authors: A.K. Chaudhuri, B.T. Hung, Kirtan Saran, Raviraj Choudhary and Gaurav Meena.&lt;br /&gt;ITM Web of Conferences Vol. 86 , page 01021&lt;br /&gt;Published online: 05/06/2026</rss:description>
    <dc:title>Hybrid User-LLM: Bridging Sequential Embeddings and Text Summarization for Universal Sequential Recommendation</dc:title>
    <dc:creator>A.K. Chaudhuri</dc:creator>
    <dc:creator>B.T. Hung</dc:creator>
    <dc:creator>Kirtan Saran</dc:creator>
    <dc:creator>Raviraj Choudhary</dc:creator>
    <dc:creator>Gaurav Meena</dc:creator>
    <dc:date>2026-06-05</dc:date>
    <dc:format>text/html</dc:format>
    <dc:identifier>10.1051/itmconf/20268601021</dc:identifier>
    <dc:source>ITM Web of Conferences  Vol. 86</dc:source>
    <prism:category>abstract</prism:category>
    <prism:issueIdentifier>itmconf/2026/06</prism:issueIdentifier>
    <prism:publicationDate>2026-06-05</prism:publicationDate>
    <prism:publicationName>ITM Web of Conferences</prism:publicationName>
    <prism:startingPage>01021</prism:startingPage>
    <prism:volume>86</prism:volume>
  </rss:item>
  <rss:item rdf:about="https://www.itm-conferences.org/10.1051/itmconf/20268601022">
    <rss:title>Hierarchical Multi-Class Deepfake Detection Using EfficientNetB4 for Source Attribution</rss:title>
    <rss:link>https://www.itm-conferences.org/10.1051/itmconf/20268601022</rss:link>
    <rss:description>Authors: A.K. Chaudhuri, B.T. Hung, Mukesh Kumar, Raviraj Choudhary and Gaurav Meena.&lt;br /&gt;ITM Web of Conferences Vol. 86 , page 01022&lt;br /&gt;Published online: 05/06/2026&lt;br /&gt;
       Keywords:
       Deepfake ; Generative Adversarial Networks ; Diffusion Models ; Deep Learning ; Transfer Learning.</rss:description>
    <dc:title>Hierarchical Multi-Class Deepfake Detection Using EfficientNetB4 for Source Attribution</dc:title>
    <dc:creator>A.K. Chaudhuri</dc:creator>
    <dc:creator>B.T. Hung</dc:creator>
    <dc:creator>Mukesh Kumar</dc:creator>
    <dc:creator>Raviraj Choudhary</dc:creator>
    <dc:creator>Gaurav Meena</dc:creator>
    <dc:subject>Deepfake</dc:subject>
    <dc:subject>Generative Adversarial Networks</dc:subject>
    <dc:subject>Diffusion Models</dc:subject>
    <dc:subject>Deep Learning</dc:subject>
    <dc:subject>Transfer Learning</dc:subject>
    <dc:date>2026-06-05</dc:date>
    <dc:format>text/html</dc:format>
    <dc:identifier>10.1051/itmconf/20268601022</dc:identifier>
    <dc:source>ITM Web of Conferences  Vol. 86</dc:source>
    <prism:category>abstract</prism:category>
    <prism:issueIdentifier>itmconf/2026/06</prism:issueIdentifier>
    <prism:publicationDate>2026-06-05</prism:publicationDate>
    <prism:publicationName>ITM Web of Conferences</prism:publicationName>
    <prism:startingPage>01022</prism:startingPage>
    <prism:volume>86</prism:volume>
  </rss:item>
  <rss:item rdf:about="https://www.itm-conferences.org/10.1051/itmconf/20268601023">
    <rss:title>Hemoglobin Estimation Techniques: A Survey of Conventional Methods, Clinical Relevance, and Machine Learning Approaches</rss:title>
    <rss:link>https://www.itm-conferences.org/10.1051/itmconf/20268601023</rss:link>
    <rss:description>Authors: A.K. Chaudhuri, B.T. Hung, Pranab Gharai, Avijit Kumar Chaudhuri, Daizy Deb and Ayantika Das.&lt;br /&gt;ITM Web of Conferences Vol. 86 , page 01023&lt;br /&gt;Published online: 05/06/2026</rss:description>
    <dc:title>Hemoglobin Estimation Techniques: A Survey of Conventional Methods, Clinical Relevance, and Machine Learning Approaches</dc:title>
    <dc:creator>A.K. Chaudhuri</dc:creator>
    <dc:creator>B.T. Hung</dc:creator>
    <dc:creator>Pranab Gharai</dc:creator>
    <dc:creator>Avijit Kumar Chaudhuri</dc:creator>
    <dc:creator>Daizy Deb</dc:creator>
    <dc:creator>Ayantika Das</dc:creator>
    <dc:date>2026-06-05</dc:date>
    <dc:format>text/html</dc:format>
    <dc:identifier>10.1051/itmconf/20268601023</dc:identifier>
    <dc:source>ITM Web of Conferences  Vol. 86</dc:source>
    <prism:category>abstract</prism:category>
    <prism:issueIdentifier>itmconf/2026/06</prism:issueIdentifier>
    <prism:publicationDate>2026-06-05</prism:publicationDate>
    <prism:publicationName>ITM Web of Conferences</prism:publicationName>
    <prism:startingPage>01023</prism:startingPage>
    <prism:volume>86</prism:volume>
  </rss:item>
  <rss:item rdf:about="https://www.itm-conferences.org/10.1051/itmconf/20268601024">
    <rss:title>End-to-End Glaucoma Detection using Deep Learning: Recent Progress and Perspectives</rss:title>
    <rss:link>https://www.itm-conferences.org/10.1051/itmconf/20268601024</rss:link>
    <rss:description>Authors: A.K. Chaudhuri, B.T. Hung, Vaibhav Yadav, Saumya Das, Barnali Dey, Udayan Baruah, Hashinur Islam and Manas Kanti Saha.&lt;br /&gt;ITM Web of Conferences Vol. 86 , page 01024&lt;br /&gt;Published online: 05/06/2026&lt;br /&gt;
       Keywords:
       Glaucoma Detection ; Deep Learning ; Computer-Aided Glaucoma Detection System.</rss:description>
    <dc:title>End-to-End Glaucoma Detection using Deep Learning: Recent Progress and Perspectives</dc:title>
    <dc:creator>A.K. Chaudhuri</dc:creator>
    <dc:creator>B.T. Hung</dc:creator>
    <dc:creator>Vaibhav Yadav</dc:creator>
    <dc:creator>Saumya Das</dc:creator>
    <dc:creator>Barnali Dey</dc:creator>
    <dc:creator>Udayan Baruah</dc:creator>
    <dc:creator>Hashinur Islam</dc:creator>
    <dc:creator>Manas Kanti Saha</dc:creator>
    <dc:subject>Glaucoma Detection</dc:subject>
    <dc:subject>Deep Learning</dc:subject>
    <dc:subject>Computer-Aided Glaucoma Detection System</dc:subject>
    <dc:date>2026-06-05</dc:date>
    <dc:format>text/html</dc:format>
    <dc:identifier>10.1051/itmconf/20268601024</dc:identifier>
    <dc:source>ITM Web of Conferences  Vol. 86</dc:source>
    <prism:category>abstract</prism:category>
    <prism:issueIdentifier>itmconf/2026/06</prism:issueIdentifier>
    <prism:publicationDate>2026-06-05</prism:publicationDate>
    <prism:publicationName>ITM Web of Conferences</prism:publicationName>
    <prism:startingPage>01024</prism:startingPage>
    <prism:volume>86</prism:volume>
  </rss:item>
  <rss:item rdf:about="https://www.itm-conferences.org/10.1051/itmconf/20268601025">
    <rss:title>Machine Learning Architectures for Sustainable Consumer Behaviour Modelling: Synergizing Behavioural Economics and Computational Intelligence</rss:title>
    <rss:link>https://www.itm-conferences.org/10.1051/itmconf/20268601025</rss:link>
    <rss:description>Authors: A.K. Chaudhuri, B.T. Hung and Biswarup Mukherjee.&lt;br /&gt;ITM Web of Conferences Vol. 86 , page 01025&lt;br /&gt;Published online: 05/06/2026</rss:description>
    <dc:title>Machine Learning Architectures for Sustainable Consumer Behaviour Modelling: Synergizing Behavioural Economics and Computational Intelligence</dc:title>
    <dc:creator>A.K. Chaudhuri</dc:creator>
    <dc:creator>B.T. Hung</dc:creator>
    <dc:creator>Biswarup Mukherjee</dc:creator>
    <dc:date>2026-06-05</dc:date>
    <dc:format>text/html</dc:format>
    <dc:identifier>10.1051/itmconf/20268601025</dc:identifier>
    <dc:source>ITM Web of Conferences  Vol. 86</dc:source>
    <prism:category>abstract</prism:category>
    <prism:issueIdentifier>itmconf/2026/06</prism:issueIdentifier>
    <prism:publicationDate>2026-06-05</prism:publicationDate>
    <prism:publicationName>ITM Web of Conferences</prism:publicationName>
    <prism:startingPage>01025</prism:startingPage>
    <prism:volume>86</prism:volume>
  </rss:item>
  <rss:item rdf:about="https://www.itm-conferences.org/10.1051/itmconf/20268602001">
    <rss:title>Predicting Air Compressor Performance of AC Motor Using Machine Learning Algorithm</rss:title>
    <rss:link>https://www.itm-conferences.org/10.1051/itmconf/20268602001</rss:link>
    <rss:description>Authors: A.K. Chaudhuri, B.T. Hung, Triveni Chavhan, Pooja C. Hiremath, Vaishnavi Bhasme, Parwez Bagali, Rakhee Kallimani and Abhinay Gupta.&lt;br /&gt;ITM Web of Conferences Vol. 86 , page 02001&lt;br /&gt;Published online: 05/06/2026&lt;br /&gt;
       Keywords:
       Predictive maintenance ; Air compressor ; Machinelearning ; Fault detection ; Radiator ; Energy consumption ; AC motor.</rss:description>
    <dc:title>Predicting Air Compressor Performance of AC Motor Using Machine Learning Algorithm</dc:title>
    <dc:creator>A.K. Chaudhuri</dc:creator>
    <dc:creator>B.T. Hung</dc:creator>
    <dc:creator>Triveni Chavhan</dc:creator>
    <dc:creator>Pooja C. Hiremath</dc:creator>
    <dc:creator>Vaishnavi Bhasme</dc:creator>
    <dc:creator>Parwez Bagali</dc:creator>
    <dc:creator>Rakhee Kallimani</dc:creator>
    <dc:creator>Abhinay Gupta</dc:creator>
    <dc:subject>Predictive maintenance</dc:subject>
    <dc:subject>Air compressor</dc:subject>
    <dc:subject>Machinelearning</dc:subject>
    <dc:subject>Fault detection</dc:subject>
    <dc:subject>Radiator</dc:subject>
    <dc:subject>Energy consumption</dc:subject>
    <dc:subject>AC motor</dc:subject>
    <dc:date>2026-06-05</dc:date>
    <dc:format>text/html</dc:format>
    <dc:identifier>10.1051/itmconf/20268602001</dc:identifier>
    <dc:source>ITM Web of Conferences  Vol. 86</dc:source>
    <prism:category>abstract</prism:category>
    <prism:issueIdentifier>itmconf/2026/06</prism:issueIdentifier>
    <prism:publicationDate>2026-06-05</prism:publicationDate>
    <prism:publicationName>ITM Web of Conferences</prism:publicationName>
    <prism:startingPage>02001</prism:startingPage>
    <prism:volume>86</prism:volume>
  </rss:item>
  <rss:item rdf:about="https://www.itm-conferences.org/10.1051/itmconf/20268602002">
    <rss:title>Customer Churn Prediction System: A Guided Web Work-flow for Local Training, Prediction, and Explainable Out-puts</rss:title>
    <rss:link>https://www.itm-conferences.org/10.1051/itmconf/20268602002</rss:link>
    <rss:description>Authors: A.K. Chaudhuri, B.T. Hung, G. Menaka, Kotagiri Srujan Raju and Vakkanti Venkata Sai Anand.&lt;br /&gt;ITM Web of Conferences Vol. 86 , page 02002&lt;br /&gt;Published online: 05/06/2026</rss:description>
    <dc:title>Customer Churn Prediction System: A Guided Web Work-flow for Local Training, Prediction, and Explainable Out-puts</dc:title>
    <dc:creator>A.K. Chaudhuri</dc:creator>
    <dc:creator>B.T. Hung</dc:creator>
    <dc:creator>G. Menaka</dc:creator>
    <dc:creator>Kotagiri Srujan Raju</dc:creator>
    <dc:creator>Vakkanti Venkata Sai Anand</dc:creator>
    <dc:date>2026-06-05</dc:date>
    <dc:format>text/html</dc:format>
    <dc:identifier>10.1051/itmconf/20268602002</dc:identifier>
    <dc:source>ITM Web of Conferences  Vol. 86</dc:source>
    <prism:category>abstract</prism:category>
    <prism:issueIdentifier>itmconf/2026/06</prism:issueIdentifier>
    <prism:publicationDate>2026-06-05</prism:publicationDate>
    <prism:publicationName>ITM Web of Conferences</prism:publicationName>
    <prism:startingPage>02002</prism:startingPage>
    <prism:volume>86</prism:volume>
  </rss:item>
  <rss:item rdf:about="https://www.itm-conferences.org/10.1051/itmconf/20268602003">
    <rss:title>AI in Decision Making: Implications for Management Education</rss:title>
    <rss:link>https://www.itm-conferences.org/10.1051/itmconf/20268602003</rss:link>
    <rss:description>Authors: A.K. Chaudhuri, B.T. Hung, T. Raja Reddy and M. Pragnashree.&lt;br /&gt;ITM Web of Conferences Vol. 86 , page 02003&lt;br /&gt;Published online: 05/06/2026&lt;br /&gt;
       Keywords:
       Artificial Intelligence ; Decision-making ; Management Education ; B-school.</rss:description>
    <dc:title>AI in Decision Making: Implications for Management Education</dc:title>
    <dc:creator>A.K. Chaudhuri</dc:creator>
    <dc:creator>B.T. Hung</dc:creator>
    <dc:creator>T. Raja Reddy</dc:creator>
    <dc:creator>M. Pragnashree</dc:creator>
    <dc:subject>Artificial Intelligence</dc:subject>
    <dc:subject>Decision-making</dc:subject>
    <dc:subject>Management Education</dc:subject>
    <dc:subject>B-school</dc:subject>
    <dc:date>2026-06-05</dc:date>
    <dc:format>text/html</dc:format>
    <dc:identifier>10.1051/itmconf/20268602003</dc:identifier>
    <dc:source>ITM Web of Conferences  Vol. 86</dc:source>
    <prism:category>abstract</prism:category>
    <prism:issueIdentifier>itmconf/2026/06</prism:issueIdentifier>
    <prism:publicationDate>2026-06-05</prism:publicationDate>
    <prism:publicationName>ITM Web of Conferences</prism:publicationName>
    <prism:startingPage>02003</prism:startingPage>
    <prism:volume>86</prism:volume>
  </rss:item>
  <rss:item rdf:about="https://www.itm-conferences.org/10.1051/itmconf/20268602004">
    <rss:title>GKB-IWAE: A Weighted Ensemble Imputation Framework with Deep Learning for River Water Level Prediction</rss:title>
    <rss:link>https://www.itm-conferences.org/10.1051/itmconf/20268602004</rss:link>
    <rss:description>Authors: A.K. Chaudhuri, B.T. Hung, Leishangthem Sashikumar Singh, Nongthombam Joychandra Singh, Yumnam Nirmal, Sophiya Kangjam, Kshetrimayum Dayvason Singh and Khumukcham Robindro Singh.&lt;br /&gt;ITM Web of Conferences Vol. 86 , page 02004&lt;br /&gt;Published online: 05/06/2026</rss:description>
    <dc:title>GKB-IWAE: A Weighted Ensemble Imputation Framework with Deep Learning for River Water Level Prediction</dc:title>
    <dc:creator>A.K. Chaudhuri</dc:creator>
    <dc:creator>B.T. Hung</dc:creator>
    <dc:creator>Leishangthem Sashikumar Singh</dc:creator>
    <dc:creator>Nongthombam Joychandra Singh</dc:creator>
    <dc:creator>Yumnam Nirmal</dc:creator>
    <dc:creator>Sophiya Kangjam</dc:creator>
    <dc:creator>Kshetrimayum Dayvason Singh</dc:creator>
    <dc:creator>Khumukcham Robindro Singh</dc:creator>
    <dc:date>2026-06-05</dc:date>
    <dc:format>text/html</dc:format>
    <dc:identifier>10.1051/itmconf/20268602004</dc:identifier>
    <dc:source>ITM Web of Conferences  Vol. 86</dc:source>
    <prism:category>abstract</prism:category>
    <prism:issueIdentifier>itmconf/2026/06</prism:issueIdentifier>
    <prism:publicationDate>2026-06-05</prism:publicationDate>
    <prism:publicationName>ITM Web of Conferences</prism:publicationName>
    <prism:startingPage>02004</prism:startingPage>
    <prism:volume>86</prism:volume>
  </rss:item>
  <rss:item rdf:about="https://www.itm-conferences.org/10.1051/itmconf/20268603001">
    <rss:title>Biometric Authentication Based Smart IOT Anti-theft Motorbike Ignition Starter</rss:title>
    <rss:link>https://www.itm-conferences.org/10.1051/itmconf/20268603001</rss:link>
    <rss:description>Authors: A.K. Chaudhuri, B.T. Hung, Sushmita Chaudhari, Shubhankar Shani, Sukant Arora, Manish Rana, Anjali Verma and Rachit Jain.&lt;br /&gt;ITM Web of Conferences Vol. 86 , page 03001&lt;br /&gt;Published online: 05/06/2026&lt;br /&gt;
       Keywords:
       Biometrics ; Arduino UNO ; Fingerprint Sensor.</rss:description>
    <dc:title>Biometric Authentication Based Smart IOT Anti-theft Motorbike Ignition Starter</dc:title>
    <dc:creator>A.K. Chaudhuri</dc:creator>
    <dc:creator>B.T. Hung</dc:creator>
    <dc:creator>Sushmita Chaudhari</dc:creator>
    <dc:creator>Shubhankar Shani</dc:creator>
    <dc:creator>Sukant Arora</dc:creator>
    <dc:creator>Manish Rana</dc:creator>
    <dc:creator>Anjali Verma</dc:creator>
    <dc:creator>Rachit Jain</dc:creator>
    <dc:subject>Biometrics</dc:subject>
    <dc:subject>Arduino UNO</dc:subject>
    <dc:subject>Fingerprint Sensor</dc:subject>
    <dc:date>2026-06-05</dc:date>
    <dc:format>text/html</dc:format>
    <dc:identifier>10.1051/itmconf/20268603001</dc:identifier>
    <dc:source>ITM Web of Conferences  Vol. 86</dc:source>
    <prism:category>abstract</prism:category>
    <prism:issueIdentifier>itmconf/2026/06</prism:issueIdentifier>
    <prism:publicationDate>2026-06-05</prism:publicationDate>
    <prism:publicationName>ITM Web of Conferences</prism:publicationName>
    <prism:startingPage>03001</prism:startingPage>
    <prism:volume>86</prism:volume>
  </rss:item>
  <rss:item rdf:about="https://www.itm-conferences.org/10.1051/itmconf/20268603002">
    <rss:title>Spraying of Pesticides and Herbicides using Drone Technology</rss:title>
    <rss:link>https://www.itm-conferences.org/10.1051/itmconf/20268603002</rss:link>
    <rss:description>Authors: A.K. Chaudhuri, B.T. Hung, Ananya Prajapati, Namrata Dhanda and Vandana Yadav.&lt;br /&gt;ITM Web of Conferences Vol. 86 , page 03002&lt;br /&gt;Published online: 05/06/2026&lt;br /&gt;
       Keywords:
       Drone spraying ; pesticides ; artificial intelligence ; crop health.</rss:description>
    <dc:title>Spraying of Pesticides and Herbicides using Drone Technology</dc:title>
    <dc:creator>A.K. Chaudhuri</dc:creator>
    <dc:creator>B.T. Hung</dc:creator>
    <dc:creator>Ananya Prajapati</dc:creator>
    <dc:creator>Namrata Dhanda</dc:creator>
    <dc:creator>Vandana Yadav</dc:creator>
    <dc:subject>Drone spraying</dc:subject>
    <dc:subject>pesticides</dc:subject>
    <dc:subject>artificial intelligence</dc:subject>
    <dc:subject>crop health</dc:subject>
    <dc:date>2026-06-05</dc:date>
    <dc:format>text/html</dc:format>
    <dc:identifier>10.1051/itmconf/20268603002</dc:identifier>
    <dc:source>ITM Web of Conferences  Vol. 86</dc:source>
    <prism:category>abstract</prism:category>
    <prism:issueIdentifier>itmconf/2026/06</prism:issueIdentifier>
    <prism:publicationDate>2026-06-05</prism:publicationDate>
    <prism:publicationName>ITM Web of Conferences</prism:publicationName>
    <prism:startingPage>03002</prism:startingPage>
    <prism:volume>86</prism:volume>
  </rss:item>
  <rss:item rdf:about="https://www.itm-conferences.org/10.1051/itmconf/20268603003">
    <rss:title>Botnet Attacks Detection in Internet of Medical Things Network</rss:title>
    <rss:link>https://www.itm-conferences.org/10.1051/itmconf/20268603003</rss:link>
    <rss:description>Authors: A.K. Chaudhuri, B.T. Hung, Sophiya Kangjam, Nongthombam Joychandra Singh, Leishangthem Sashikumar Singh, Yumnam Nirmal and Khumukcham Robindro Singh.&lt;br /&gt;ITM Web of Conferences Vol. 86 , page 03003&lt;br /&gt;Published online: 05/06/2026</rss:description>
    <dc:title>Botnet Attacks Detection in Internet of Medical Things Network</dc:title>
    <dc:creator>A.K. Chaudhuri</dc:creator>
    <dc:creator>B.T. Hung</dc:creator>
    <dc:creator>Sophiya Kangjam</dc:creator>
    <dc:creator>Nongthombam Joychandra Singh</dc:creator>
    <dc:creator>Leishangthem Sashikumar Singh</dc:creator>
    <dc:creator>Yumnam Nirmal</dc:creator>
    <dc:creator>Khumukcham Robindro Singh</dc:creator>
    <dc:date>2026-06-05</dc:date>
    <dc:format>text/html</dc:format>
    <dc:identifier>10.1051/itmconf/20268603003</dc:identifier>
    <dc:source>ITM Web of Conferences  Vol. 86</dc:source>
    <prism:category>abstract</prism:category>
    <prism:issueIdentifier>itmconf/2026/06</prism:issueIdentifier>
    <prism:publicationDate>2026-06-05</prism:publicationDate>
    <prism:publicationName>ITM Web of Conferences</prism:publicationName>
    <prism:startingPage>03003</prism:startingPage>
    <prism:volume>86</prism:volume>
  </rss:item>
  <rss:item rdf:about="https://www.itm-conferences.org/10.1051/itmconf/20268604001">
    <rss:title>Hybrid ML-DL Based Network Intrusion Detection System in Data Science Framework</rss:title>
    <rss:link>https://www.itm-conferences.org/10.1051/itmconf/20268604001</rss:link>
    <rss:description>Authors: A.K. Chaudhuri, B.T. Hung, Gowtham Sri Vamsi Angarapu, Aashish Jayakanthan and Gokul Pran S.&lt;br /&gt;ITM Web of Conferences Vol. 86 , page 04001&lt;br /&gt;Published online: 05/06/2026</rss:description>
    <dc:title>Hybrid ML-DL Based Network Intrusion Detection System in Data Science Framework</dc:title>
    <dc:creator>A.K. Chaudhuri</dc:creator>
    <dc:creator>B.T. Hung</dc:creator>
    <dc:creator>Gowtham Sri Vamsi Angarapu</dc:creator>
    <dc:creator>Aashish Jayakanthan</dc:creator>
    <dc:creator>Gokul Pran S</dc:creator>
    <dc:date>2026-06-05</dc:date>
    <dc:format>text/html</dc:format>
    <dc:identifier>10.1051/itmconf/20268604001</dc:identifier>
    <dc:source>ITM Web of Conferences  Vol. 86</dc:source>
    <prism:category>abstract</prism:category>
    <prism:issueIdentifier>itmconf/2026/06</prism:issueIdentifier>
    <prism:publicationDate>2026-06-05</prism:publicationDate>
    <prism:publicationName>ITM Web of Conferences</prism:publicationName>
    <prism:startingPage>04001</prism:startingPage>
    <prism:volume>86</prism:volume>
  </rss:item>
  <rss:item rdf:about="https://www.itm-conferences.org/10.1051/itmconf/20268604002">
    <rss:title>Cloud Computing’s Data Security and Privacy Issues: A Review of the Problems and Solutions</rss:title>
    <rss:link>https://www.itm-conferences.org/10.1051/itmconf/20268604002</rss:link>
    <rss:description>Authors: A.K. Chaudhuri, B.T. Hung, Sarasij Majumdar and Shivnath Ghosh.&lt;br /&gt;ITM Web of Conferences Vol. 86 , page 04002&lt;br /&gt;Published online: 05/06/2026</rss:description>
    <dc:title>Cloud Computing’s Data Security and Privacy Issues: A Review of the Problems and Solutions</dc:title>
    <dc:creator>A.K. Chaudhuri</dc:creator>
    <dc:creator>B.T. Hung</dc:creator>
    <dc:creator>Sarasij Majumdar</dc:creator>
    <dc:creator>Shivnath Ghosh</dc:creator>
    <dc:date>2026-06-05</dc:date>
    <dc:format>text/html</dc:format>
    <dc:identifier>10.1051/itmconf/20268604002</dc:identifier>
    <dc:source>ITM Web of Conferences  Vol. 86</dc:source>
    <prism:category>abstract</prism:category>
    <prism:issueIdentifier>itmconf/2026/06</prism:issueIdentifier>
    <prism:publicationDate>2026-06-05</prism:publicationDate>
    <prism:publicationName>ITM Web of Conferences</prism:publicationName>
    <prism:startingPage>04002</prism:startingPage>
    <prism:volume>86</prism:volume>
  </rss:item>
  <rss:item rdf:about="https://www.itm-conferences.org/10.1051/itmconf/20268604003">
    <rss:title>Towards Self-Adaptive Blockchain Security: An AI-Driven Framework for Resilient IoT Networks</rss:title>
    <rss:link>https://www.itm-conferences.org/10.1051/itmconf/20268604003</rss:link>
    <rss:description>Authors: A.K. Chaudhuri, B.T. Hung, Saswati Ghosh and Shivnath Ghosh.&lt;br /&gt;ITM Web of Conferences Vol. 86 , page 04003&lt;br /&gt;Published online: 05/06/2026&lt;br /&gt;
       Keywords:
       Blockchain ; Artificial Intelligence ; Machine Learning ; IoT Security ; Adaptive Consensus ; LSTM ; Cryptography.</rss:description>
    <dc:title>Towards Self-Adaptive Blockchain Security: An AI-Driven Framework for Resilient IoT Networks</dc:title>
    <dc:creator>A.K. Chaudhuri</dc:creator>
    <dc:creator>B.T. Hung</dc:creator>
    <dc:creator>Saswati Ghosh</dc:creator>
    <dc:creator>Shivnath Ghosh</dc:creator>
    <dc:subject>Blockchain</dc:subject>
    <dc:subject>Artificial Intelligence</dc:subject>
    <dc:subject>Machine Learning</dc:subject>
    <dc:subject>IoT Security</dc:subject>
    <dc:subject>Adaptive Consensus</dc:subject>
    <dc:subject>LSTM</dc:subject>
    <dc:subject>Cryptography</dc:subject>
    <dc:date>2026-06-05</dc:date>
    <dc:format>text/html</dc:format>
    <dc:identifier>10.1051/itmconf/20268604003</dc:identifier>
    <dc:source>ITM Web of Conferences  Vol. 86</dc:source>
    <prism:category>abstract</prism:category>
    <prism:issueIdentifier>itmconf/2026/06</prism:issueIdentifier>
    <prism:publicationDate>2026-06-05</prism:publicationDate>
    <prism:publicationName>ITM Web of Conferences</prism:publicationName>
    <prism:startingPage>04003</prism:startingPage>
    <prism:volume>86</prism:volume>
  </rss:item>
</rdf:RDF>
