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      Cover image for Novelty Detection of Machinery Using a Non-parametric Machine Learning Approach
      1. 
      Novelty Detection of Machinery Using a Non-parametric Machine Learning Approach
      by 
      Angola Abreu, Enrique D., author.
      http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10829768
      Format: 
      Excerpt: 
      synthetic and real novelties are used to illustrate and test the novelty detection algorithm. Novelties are
      Cover image for Context-aware Anomaly Detection and Analysis using Spatial-Temporal Data
      2. 
      Context-aware Anomaly Detection and Analysis using Spatial-Temporal Data
      by 
      Liu, Qi, author.
      http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10791308
      Format: 
      Excerpt: 
      -temporal neighborhood context. Average precision and recall of 98.1% and 95.7% for contextual outlier detection are
      Cover image for Identifying Traffic Anomalies Interfering with IBR Based Outage Detection
      3. 
      Identifying Traffic Anomalies Interfering with IBR Based Outage Detection
      by 
      Gupta, Ojas, author.
      http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10812992
      Format: 
      Excerpt: 
      identifying malicious Internet activities, detecting Internet outages, etc. The Internet Outage Detection
      Cover image for Inference and Uncertainty Quantification for Unsupervised Structural Monitoring Problems
      4. 
      Inference and Uncertainty Quantification for Unsupervised Structural Monitoring Problems
      by 
      Mohammadi Ghazi, Reza, author.
      http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10902900
      Format: 
      Excerpt: 
      structural health monitoring (SHM). For signal processing, we have developed a feature extraction scheme that