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Showing 1 to 2 of 2 for “"unsupervised pattern recognition"”.

  1. A supervised machine learning-based framework to detect low-level fault injections in software systems

    Gangolli, Aakash AnilUniversity of Ontario Institute of Technology2022

    … utilize system-specific software features and unsupervised learning due to lack of labelled data. Unsupervised pattern recognition is vulnerable to false data injection, and Machine Learning algorithms such as Artificial and Recurrent Neural Networks are not feasible for resource-constrained …

    uoit Repository record

  2. A Provenance Study Using Neutron Activation and Cluster Analysis

    Lee, Paul H.2017

    Made available in DSpace on 2017-07-06T18:55:05Z (GMT). No. of bitstreams: 2 Lee_Paul_H_MS.pdf: 47283083 bytes, checksum: df2ee030a1b60777c74bd5ccefb55308 (MD5) license.txt: 4813 bytes, checksum: 715c4321821a960fa1a1e91d2ac7ebce (MD5) Previous issue date: 1988

    uiuc Repository record