2 citations · 2 across the 2 of their papers we have counts for
4 papers · 1 filter
Discovering Gateway Ports in Maritime Using Temporal Graph Neural Network Port Classification
Dogan Altan, Mohammad Etemad, Dusica Marijan +1
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. These…
Using Deep Reinforcement Learning Methods for Autonomous Vessels in 2D Environments
Mohammad Etemad, Nader Zare, Mahtab Sarvmaili +3
Unmanned Surface Vehicles technology (USVs) is an exciting topic that essentially deploys an algorithm to safely and efficiently performs a mission. Although reinforcement learning…
Wise Sliding Window Segmentation: A classification-aided approach for trajectory segmentation
Mohammad Etemad, Zahra Etemad, Amilcar Soares +3
Large amounts of mobility data are being generated from many different sources, and several data mining methods have been proposed for this data. One of the most critical steps for…
Transportation Modes Classification Using Feature Engineering
Mohammad Etemad
Predicting transportation modes from GPS (Global Positioning System) records is a hot topic in the trajectory mining domain. Each GPS record is called a trajectory point and a traj…