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    <pubDate>Tue, 22 Sep 2026 07:30:14 GMT</pubDate>
    <dc:date>2026-09-22T07:30:14Z</dc:date>
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      <title>Machine learning applications for precision agriculture</title>
      <link>https://irju.jdvu.ac.in/jspui/handle/123456789/10618</link>
      <description>Title: Machine learning applications for precision agriculture
Authors: Paria, Abhirup
Description: Supervisor(s): Neogy, Sarmistha (Dept. of Computer Science and Engineering, J.U.) and Giri, Arindam (Dept. of Computer Science and Engineering, Haldia Institute of Technology, Haldia, West Bengal); Awarded year: 2026</description>
      <pubDate>Thu, 01 Jan 2026 00:00:00 GMT</pubDate>
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      <title>Process engineering studies for biodegradation of reactive red 120 dye by Pseudomonas aeruginosa JU_CHE_01</title>
      <link>https://irju.jdvu.ac.in/jspui/handle/123456789/10617</link>
      <description>Title: Process engineering studies for biodegradation of reactive red 120 dye by Pseudomonas aeruginosa JU_CHE_01
Authors: Goswami, Deepa
Description: Supervisor(s): Mondal, Chanchal (Dept. of Chemical Engineering, J.U.) and Bhunia, Biswanath (Dept. of Bio Engineering, National Institute of Technology, Agartala, Tripura); Awarded year: 2026</description>
      <pubDate>Thu, 01 Jan 2026 00:00:00 GMT</pubDate>
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      <dc:date>2026-01-01T00:00:00Z</dc:date>
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      <title>Development of a dedicated electronic tongue for the detection of taste-affecting compounds in black tea</title>
      <link>https://irju.jdvu.ac.in/jspui/handle/123456789/10616</link>
      <description>Title: Development of a dedicated electronic tongue for the detection of taste-affecting compounds in black tea
Authors: Moulick, Madhurima
Description: Supervisor(s): Banerjee Roy, Runu (Dept. of Instrumentation and Electronics Engineering, J.U.); Awarded year: 2026</description>
      <pubDate>Thu, 01 Jan 2026 00:00:00 GMT</pubDate>
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      <dc:date>2026-01-01T00:00:00Z</dc:date>
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      <title>Quality evaluation of tea using chemical sensors and NIR spectroscopy: machine learning approach</title>
      <link>https://irju.jdvu.ac.in/jspui/handle/123456789/10615</link>
      <description>Title: Quality evaluation of tea using chemical sensors and NIR spectroscopy: machine learning approach
Authors: Modak, Angiras
Description: Supervisor(s): Banerjee Roy, Runu (Dept. of Instrumentation and Electronics Engineering, J.U.); Awarded year: 2026</description>
      <pubDate>Thu, 01 Jan 2026 00:00:00 GMT</pubDate>
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      <dc:date>2026-01-01T00:00:00Z</dc:date>
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