Ship trajectory data can be used in most marine-related research, and most ship trajectory data come from AIS.The large number of ships and the short reporting period of AIS have resulted in a huge amount of ship trajectory data, which has caused a certain amount of pressure on the relevant research.This paper proposes a direction-preserved vessel
Fake news has been spreading intentionally and misleading society to believe unconfirmed information; this phenomenon makes it challenging to identify fake news based on shared content.Fake news circulation is not only a current issue, but it has been disseminated Gift Card for centuries.Dealing with fake news is a challenging task because it sprea
Sculpture offers a centuries-long tradition of techniques for expressing emotion and movement in a static form.Insights from this field present an opportunity to design robots that express not only through movement, but also via dynamic cues in their static positions.Such Barstool cues can suggest motion potential, emotion, and character.This paper
The massive number of images demands highly efficient image retrieval tools.Deep distance metric learning (DDML) is proposed to learn image similarity metrics in an end-to-end manner based on the convolution neural network, which has achieved encouraging results.The loss function is crucial in DDML frameworks.However, we found limitations to Vacuum