Mohammad Etemad
YOU?
Author Swipe
View article: Enhancing short-term vessel trajectory prediction with clustering for heterogeneous and multi-modal movement patterns
Enhancing short-term vessel trajectory prediction with clustering for heterogeneous and multi-modal movement patterns Open
Predicting vessel trajectories is crucial for enhancing situational awareness and preventing collisions at sea. However, achieving accurate and efficient predictions is challenging due to the heterogeneity in vessel movement patterns and c…
View article: Discovering Gateway Ports in Maritime Using Temporal Graph Neural Network Port Classification
Discovering Gateway Ports in Maritime Using Temporal Graph Neural Network Port Classification Open
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 dynamic and static navigational factors impose limitations …
View article: Discovering Gateway Ports in Maritime Using Temporal Graph Neural Network Port Classification
Discovering Gateway Ports in Maritime Using Temporal Graph Neural Network Port Classification Open
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 dynamic and static navigational factors impose limitations …
View article: Using Deep Reinforcement Learning Methods for Autonomous Vessels in 2D Environments
Using Deep Reinforcement Learning Methods for Autonomous Vessels in 2D Environments Open
Unmanned Surface Vehicles technology (USVs) is an exciting topic that essentially deploys an algorithm to safely and efficiently performs a mission. Although reinforcement learning is a well-known approach to modeling such a task, instabil…
View article: Wise Sliding Window Segmentation: A classification-aided approach for\n trajectory segmentation
Wise Sliding Window Segmentation: A classification-aided approach for\n trajectory segmentation Open
Large amounts of mobility data are being generated from many different\nsources, and several data mining methods have been proposed for this data. One\nof the most critical steps for trajectory data mining is segmentation. This\ntask can b…
View article: Uncovering vessel movement patterns from AIS data with graph evolution analysis
Uncovering vessel movement patterns from AIS data with graph evolution analysis Open
The availability of the large amount of Automatic Identification System (AIS) data has fostered many studies on maritime vessel traffic during the recent years, often representing vessels and ports relationships as graphs. Although the con…
View article: A network abstraction of multi-vessel trajectory data for detecting anomalies
A network abstraction of multi-vessel trajectory data for detecting anomalies Open
The detection of anomalies in vessel trajectories is a problem of great interest for all maritime surveillance systems, since it may uncover strange, suspicious or difficult situations for vessels. All the existing works in the field exami…
View article: On feature selection and evaluation of transportation mode prediction strategies
On feature selection and evaluation of transportation mode prediction strategies Open
Transportation modes prediction is a fundamental task for decision making in smart cities and traffic management systems. Traffic policies designed based on trajectory mining can save money and time for authorities and the public. It may r…
View article: On feature selection and evaluation of transportation mode prediction\n strategies
On feature selection and evaluation of transportation mode prediction\n strategies Open
Transportation modes prediction is a fundamental task for decision making in\nsmart cities and traffic management systems. Traffic policies designed based on\ntrajectory mining can save money and time for authorities and the public. It\nma…
View article: Transportation Modes Classification Using Feature Engineering
Transportation Modes Classification Using Feature Engineering Open
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 trajectory is a sequence of these points. Trajectory mining has…