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    An online one class support vector machine based person-specific fall detection system for monitoring an elderly individual in a room environment by Miao Yu, Yuanzhang Yu, Adel Rhuma, Mohsen Naqvi, Liang Wang, Jonathon Chambers

    Published 2013
    “…From the comprehensive experimental evaluations on data sets for 12 people, we confirm that our proposed person specific fall detection system can achieve excellent fall detection performance with 100% fall detection rate and only 3% false detection rate with the optimally tuned parameters. This work is a semi-unsupervised fall detection system from a system perspective because although an unsupervised type algorithm (OCSVM) is applied, human intervention is needed for segmenting and selecting of video clips containing normal postures. …”
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  2. 2

    Methods for modelling and simulating network delays at coarse time-scales by Jose A. Hernandez Gutierrez

    Published 2005
    “…Additionally, two extensions of this algorithm shall be introduced: a real-time modification for tracking network delays adaptively; and an algorithm for generating synthetic but statistically equivalent network delays. …”
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