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Number of items: 4.

Nunes, Matthew, Burnap, Peter, Rana, Omer, Reinecke, Philipp and Lloyd, Kaelon 2019. Getting to the root of the problem: A detailed comparison of kernel and user level data for dynamic malware analysis. Journal of Information Security and Applications 48 , 102365. 10.1016/j.jisa.2019.102365
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Lloyd, Kaelon 2018. Applying computer analysis to detect and predict violent crime during night time economy hours. PhD Thesis, Cardiff University.
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Lloyd, Kaelon, Rosin, Paul L., Marshall, Andrew D. and Moore, Simon C. 2017. Violent behaviour detection using local trajectory response. Presented at: 7th International Conference on Imaging for Crime Detection and Prevention, Madrid, Spain, 23-25 November 2016. 7th International Conference on Imaging for Crime Detection and Prevention (ICDP 2016). IET Seminar Digests 2016/0006 Institution of Engineering and Technology, pp. 78-83. 10.1049/ic.2016.0082
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Lloyd, Kaelon, Rosin, Paul L., Marshall, Andrew David and Moore, Simon Christopher 2017. Detecting violent and abnormal crowd activity using temporal analysis of grey level co-occurrence matrix (GLCM)-based texture measures. Machine Vision and Applications 28 (3) , pp. 361-371. 10.1007/s00138-017-0830-x
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This list was generated on Sun Dec 8 09:15:10 2019 GMT.