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      <title>Machine learning enabled design optimization of MEMS devices A few case studies</title>
      <link>http://dspace.bits-pilani.ac.in:8080/jspui/handle/123456789/20361</link>
      <description>Title: Machine learning enabled design optimization of MEMS devices A few case studies
Authors: Srivastava, Sanjeet Kumar
Description: Under the Supervision of Prof. Sanket Goel and co-supervision of Prof. Chittaranjan Hota</description>
      <pubDate>Wed, 01 Jan 2025 00:00:00 GMT</pubDate>
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      <title>Multiscale domain machine learning approaches for the analysis and classification of electroencephalogram EEG signals</title>
      <link>http://dspace.bits-pilani.ac.in:8080/jspui/handle/123456789/20360</link>
      <description>Title: Multiscale domain machine learning approaches for the analysis and classification of electroencephalogram EEG signals
Authors: Dash, Shaswati
Description: Under the Supervision of Dr. Rajesh Kumar Tripathy</description>
      <pubDate>Wed, 01 Jan 2025 00:00:00 GMT</pubDate>
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      <title>Design and Analysis of Microwave Dielectric Resonator based Displacement Sensors</title>
      <link>http://dspace.bits-pilani.ac.in:8080/jspui/handle/123456789/20341</link>
      <description>Title: Design and Analysis of Microwave Dielectric Resonator based Displacement Sensors
Authors: Regalla, Premsai
Description: Under the Supervision of Prof. Praveen Kumar A. V.</description>
      <pubDate>Wed, 01 Jan 2025 00:00:00 GMT</pubDate>
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      <dc:date>2025-01-01T00:00:00Z</dc:date>
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      <title>Nanomaterial Based Sensors for VOC Discrimination Feature Extraction Techniques and Statistical Analysis</title>
      <link>http://dspace.bits-pilani.ac.in:8080/jspui/handle/123456789/20337</link>
      <description>Title: Nanomaterial Based Sensors for VOC Discrimination Feature Extraction Techniques and Statistical Analysis
Authors: Thakur, Uttam Narendra
Description: Under the Supervision of Prof. Arnab Hazra and co-supervision of Prof. Pawan K. Ajmera</description>
      <pubDate>Wed, 01 Jan 2025 00:00:00 GMT</pubDate>
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