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    <title>Paul Rosero on DASYA</title>
    <link>https://dasya.itu.dk/supervisor/paul-rosero/</link>
    <description>Recent content in Paul Rosero on DASYA</description>
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    <copyright>© DASYA, IT University of Copenhagen</copyright>
    <lastBuildDate>Wed, 09 Feb 2022 00:00:00 +0000</lastBuildDate>
    
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      <title>Outlier detection in IoT devices</title>
      <link>https://dasya.itu.dk/for-students/proposals/archive/timeseriesanalysis/</link>
      <pubDate>Wed, 09 Feb 2022 00:00:00 +0000</pubDate>
      
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      <description>Outlier detection is carried out when the information is stored at the server. However, with the new IoT computational capabilities, outlier detection can be developed locally. Therefore, it is necessary to know how much RAM/Flash is needed for this step and which IoT brands can handle it. This project is divided into two parts. The first is implementing light-heavy ML algorithms in single points with few instances. Second, deploy the outlier detection to implement deep learning techniques related to time series analysis.</description>
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    <item>
      <title>tinyML everywhere</title>
      <link>https://dasya.itu.dk/for-students/proposals/archive/tinyml/</link>
      <pubDate>Wed, 09 Feb 2022 00:00:00 +0000</pubDate>
      
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      <description>TinyML is a new trend to deploy deep learning in tiny devices. Therefore, it is necessary to deploy several applications to understand the challenges and opportunities which tinyML brings us. In this scenario, any idea with embedded computer vision, voice recognition, and sensors are welcome.</description>
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