Global ETD Search

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Showing 1 to 3 of 3 for “"Suspicious patterns"”.

  1. Sentiment analysis using unsupervised learning for local government elections in South Africa

    … and to see if there are any distinct sentiment patterns or shifts during different phases of the 2021 local government elections campaigns. Furthermore, the study applies the use of suspicious patterns and K-Means methods to classify the users as either bots and human using to be able to …

    pretoria Repository record for Sentiment analysis using unsupervised learning for local government elections in South Africa (opens in a new tab)

  2. I, Dentist: Is artificial intelligence the future of oral healthcare?

    … by monitoring insurance claims, and flagging suspicious patterns in patient records. Other systems focus on automating the diagnosis process itself— scanning patient X-rays to identify simple issues like a cavity, for example, or a tooth abscess. On paper, dental AI companies pitch their …

    mit Repository record for I, Dentist: Is artificial intelligence the future of oral healthcare? (opens in a new tab)

  3. A monitoring framework for side-channel information leaks

    … systems which monitor system activity for suspicious patterns are also available and are commonly deployed in production environments. What is missing, however, is the consideration of implicit information flows, or side-channels. One significant factor which has been holding back …

    uoit Repository record for A monitoring framework for side-channel information leaks (opens in a new tab)