Anomaly

Results: 1716



#Item
1Poster: PCA-based statistical anomaly detection of reactive jamming in WiFi networks Ni An Vinod Mishra

Poster: PCA-based statistical anomaly detection of reactive jamming in WiFi networks Ni An Vinod Mishra

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Source URL: www.ieee-security.org

Language: English - Date: 2017-05-12 22:38:18
2SAIFE: Unsupervised Wireless Spectrum Anomaly Detection with Interpretable Features Sreeraj Rajendran∗ , Wannes Meert† , Vincent Lenders‡ and Sofie Pollin∗ arXiv:1807.08316v1 [eess.SP] 22 Jul 2018

SAIFE: Unsupervised Wireless Spectrum Anomaly Detection with Interpretable Features Sreeraj Rajendran∗ , Wannes Meert† , Vincent Lenders‡ and Sofie Pollin∗ arXiv:1807.08316v1 [eess.SP] 22 Jul 2018

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Source URL: www.lenders.ch

Language: English - Date: 2018-08-01 09:56:01
3Anomaly detection based on real-time exploitation of billing systems

Anomaly detection based on real-time exploitation of billing systems

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Source URL: mavroud.is

Language: English - Date: 2018-10-23 09:34:50
4DATASHEET  Prevent and Block Malicious Network Activity • Detect and pin-point network/traffic anomaly, take proactive action in real time. • Block access to sites associated with spyware, phishing and

DATASHEET Prevent and Block Malicious Network Activity • Detect and pin-point network/traffic anomaly, take proactive action in real time. • Block access to sites associated with spyware, phishing and

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Source URL: www.360.net

Language: English - Date: 2017-11-29 02:00:35
    5Anomaly Detection in Hyperspectral Images of Complex Scenes Dirk BORGHYS a,1 , Elie TRUYEN a Michal SHIMONI a and Christiaan PERNEEL b a Royal Military Academy, Signal & Image Centre, Brussels, Belgium b Royal Military A

    Anomaly Detection in Hyperspectral Images of Complex Scenes Dirk BORGHYS a,1 , Elie TRUYEN a Michal SHIMONI a and Christiaan PERNEEL b a Royal Military Academy, Signal & Image Centre, Brussels, Belgium b Royal Military A

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    Source URL: www.sic.rma.ac.be

    Language: English - Date: 2009-06-29 09:05:56
      6An Interview of Daphne and Naren by Comm. of ACM on Program Anomaly Detection 1-Your method only seems to work on programs whose behavior with which you have become very familiar. Is that true? Response: Yes, that is cor

      An Interview of Daphne and Naren by Comm. of ACM on Program Anomaly Detection 1-Your method only seems to work on programs whose behavior with which you have become very familiar. Is that true? Response: Yes, that is cor

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      Source URL: people.cs.vt.edu

      Language: English - Date: 2016-05-01 10:17:43
        7The Anomaly of the Violoncello piccolo  Finzi Report Jennifer Morsches 10 June 2013

        The Anomaly of the Violoncello piccolo Finzi Report Jennifer Morsches 10 June 2013

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        Source URL: www.geraldfinzi.org

        Language: English - Date: 2017-05-20 14:37:54
          8Conditional Anomaly Detection Using Soft Harmonic Functions: An Application to Clinical Alerting Michal Valko Computer Science Department, University of Pittsburgh, PA

          Conditional Anomaly Detection Using Soft Harmonic Functions: An Application to Clinical Alerting Michal Valko Computer Science Department, University of Pittsburgh, PA

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          Source URL: www.bkveton.com

          Language: English - Date: 2018-07-29 15:59:24
            9data iku Case Study / Transportation  Anomaly Detection

            data iku Case Study / Transportation Anomaly Detection

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            Source URL: pages.dataiku.com

            Language: English - Date: 2017-10-09 22:07:07
              10Axial anomaly, vector meson dominance and mixing

              Axial anomaly, vector meson dominance and mixing

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              Source URL: www.ccsem.infn.it

              Language: English - Date: 2015-06-25 12:49:59