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Hittade 2 uppsatser som matchar ovanstående sökkriterier.

  1. 1. Measuring Coverage of Attack Simulations on MAL Attack Graphs

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Nicklas Hersén; [2021]
    Nyckelord :;

    Sammanfattning : With the transition from traditional media and the increasing number of digital devices, the threats against digital infrastructure is greater than ever before. New and stricter security requirements are placed on digital platform in order to protect sensitive information against external cyber threats. LÄS MER

  2. 2. The Effect of Audio Snippet Locations and Durations on Genre Classification Accuracy Using SVM

    Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Nicklas Hersén; Axel Kennedal; [2018]
    Nyckelord :;

    Sammanfattning : Real world scenarios where machine learning based music genre classification could be applied includes; streaming services, music distribution platforms and automatic tagging of music libraries. Music genre classification is inherently a subjective task; there are no exact boundaries that separate different genres. LÄS MER