Ship detection from high-resolution optical satellite images is still an important task that
deserves optimal solutions. This paper introduces a novel high-resolution image network-based …

Automatic Identification System (AIS) broadcasts real-time information from moving vessels
at sea. AIS data collected from moving vessels over an area of interest can rapidly generates …

This paper introduces a novel approach for extracting vessel navigation patterns from very
large automatic identification system (AIS) trajectory big data. AIS trajectory data records are …

Automatic Identification System (AIS) provides realtime information of moving vessels in the
sea of the whole world. The AIS data can be exploited for vessel tracking, collision avoidance…

AIS (Automatic Identification System) data received from moving vessels over an area of
interest can be of very much interest for deriving maritime trajectory patterns. In this paper, a …

This paper presents a useful approach for making topic words distribution more accurate and
ranking topic significance according to the Jensen-Shannon divergence from background …

Twitter has grown so rapidly that its users are suffering from an information overload. In
order to help people to find interesting tweets and users from the enormous Twitter space, by …

Early diagnosis of thorax diseases is very important for saving lives. Recently, deep learning
approaches are applied to multilabel classification of chest X-ray images, which yields an …

The purpose of our study is to understanding hashtags used in Twitter and clustering hashtags
according to their word distribution, so that we can discover the public trend of user's topic …

Topic model is an emerging approach to summarize data, especially text data, in terms of a
small set of latent variables. The most useful implement of topic model is LDA method, which …