The growing availability of maritime IoT traffic data and continuous expansion of the
maritime traffic volume, serving as the driving fuel, propel the latest Artificial Intelligence (AI) …

Abstract Automatic Identification System (AIS) data holds immense research value in the
maritime industry because of its massive scale and the ability to reveal the spatial–temporal …

Ship position prediction is the key to inland river and sea navigation warning. Maritime traffic
control centers, according to ship position monitoring, ship position prediction and early …

According to the statistics of maritime accidents, most collision accidents have been caused
by human factors. In an encounter situation, the prediction of ship's trajectory is a good way …

Ship trajectory prediction plays an important role in ship route planning and collision
avoidance in the development of autonomous ships. Previous models related to ship …

Accurate ship trajectory prediction (STP) is crucial to realise the early warning of ship
collision and ensure maritime safety. Driven by advancements in artificial intelligence …

According to the statistics of water transportation accidents, collision accidents are on the
rise as the shipping industry has expanded by leaps and bounds, and the water …

Accurately forecasting wind speed on a short-term scale has become essential in the field of
wind power energy. In this paper, a multi-variable long short-term memory network model …

Because of the uncertainty of weather and the complexity of atmospheric movement,
extreme weather has always been an important and difficult meteorological problem …

Resistance is one of the important performance indicators of ships. In this paper, a prediction
method based on the Radial Basis Function neural network (RBFNN) is proposed to predict …