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Found 5 papers, 3 papers with code
Discovering Gateway Ports in Maritime Using Temporal Graph Neural Network Port Classification
Vessel navigation is influenced by various factors, such as dynamic environmental factors that change over time or static features such as vessel type or depth of the ocean.
Using Deep Reinforcement Learning Methods for Autonomous Vessels in 2D Environments
Experimental results show that the proposed method enhanced the performance of VVN by 55. 31 on average for long-distance missions.
Wise Sliding Window Segmentation: A classification-aided approach for trajectory segmentation
One of the most critical steps for trajectory data mining is segmentation.
On feature selection and evaluation of transportation mode prediction strategies
Since the number of features that may be used to predict a user transportation mode can be substantial, finding a subset of features that maximizes a performance measure is worth investigating.
Transportation Modes Classification Using Feature Engineering
Transportation modes prediction as one of the tasks in human mobility and vehicle mobility applications plays an important role in resource allocation, traffic management systems, tourism planning and accident detection.
