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    • Automatic anomaly detection for swarm observations

      • role：Corresponding author,First author通信作者,第一作者
      • Affiliation：

        School Computing, Faculty of Computing, Engineering and the Built Environment, Ulster University, Jordanstown Road, Newtownabbey, Co Antrim, UK

      • Email：y.bi@ulster.ac.uk
      • Introduction：Yaxin Bi Yaxin,male,he interests in multiple supervised and unsupervised machine (deep) learning-based classification systems and ensemble methods in conjunction with the Dempter-Shafer (DS) theory of evidence; data analytics and decision making with uncertainty methods for satellite data exploitation with an emphasis on anomaly/change detection; and sentiment analytics for opinion mining and cyber-bullying detection E-mail: y.bi@ulster.ac.uk

      BI Yaxin

      1 * ,
      • Affiliation：

        School Computing, Faculty of Computing, Engineering and the Built Environment, Ulster University, Jordanstown Road, Newtownabbey, Co Antrim, UK

      CHRISTODOULOU Vyron

      1,
      • Affiliation：

        School Computing, Faculty of Computing, Engineering and the Built Environment, Ulster University, Jordanstown Road, Newtownabbey, Co Antrim, UK

      WILKIe George

      1,
      • Affiliation：

        Institute of Geology, China Earthquake Administration, Beijing 100029, China

      ZHAO Guoze

      2,
      • Affiliation：

        School Computing, Faculty of Computing, Engineering and the Built Environment, Ulster University, Jordanstown Road, Newtownabbey, Co Antrim, UK

      NICHOLL Perter

      1,
      • Affiliation：

        Institute of Geology, China Earthquake Administration, Beijing 100029, China

      HAN Bin

      2,
      • Affiliation：

        Institute of Geology, China Earthquake Administration, Beijing 100029, China

      TANG Ji

      2
    • Vol. 24, Issue S1, Pages: 173-182(2020)  
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