[HTML][HTML] An adaptive trajectory segmentation and simplification algorithm based on vessel behavioral features

L Ye, X Chen, R Zhang, B Zhang, H Liu - Ocean Engineering, 2024 - Elsevier
Existing algorithms for trajectory simplification in AIS data processing have issues such as
loss of key feature points, high subjectivity in threshold selection, and incomplete …

[HTML][HTML] The big picture: An improved method for map** ship** activities

A Troupiotis-Kapeliaris, D Zissis, K Bereta, M Vodas… - Remote Sensing, 2023 - mdpi.com
Density maps support a bird's eye view of vessel traffic, through providing an overview of
vessel behavior, either at a regional or global scale in a given timeframe. However, any …

Ship** emission inventory preparation with AIS data: A stratified random sampling method

S He, X Wu, J Wang, Y Lu - Transportation Research Part D: Transport and …, 2025 - Elsevier
Ship** emission inventory is the basis of regional air pollution assessments and pollution
prevention and control policies. The accuracy depends to a large extent on the calculation …

Development and Application of an Advanced Automatic Identification System (AIS)-Based Ship Trajectory Extraction Framework for Maritime Traffic Analysis

IL Huang, L Man-Chun, L Chang… - Journal of Marine …, 2024 - search.proquest.com
This study addresses the challenges of maritime traffic management in the western waters of
Taiwan, a region characterized by substantial commercial ship** activity and ongoing …

ANALYTiC: Understanding Decision Boundaries and Dimensionality Reduction in Machine Learning

S Haidri - ar** and
logistics industry to track and monitor ships in real-time. Extraction of transshipment features …

Temporal analysis and gravity-informed marine traffic forecasting for non-indigenous species risk assessment through ballast water

R Song - 2024 - research.library.mun.ca
Non-indigenous species (NIS) spreading through ballast water and establishing themselves
in the new environment threaten biodiversity and marine ecosystems. Ballast water risk …

An Algorithm of Density Peak Clustering with Customized Cluster Quantity Based on Particle Swarm Optimization

Z Ouyang, L Xue, L Chen, C Yu - 2024 4th International …, 2024 - ieeexplore.ieee.org
Density peak clustering (DPC) is a widely used density-based clustering method. However,
the clustering results obtained by DPC heavily depend on manually setting the cut-off …

Extraction of Frequently Active Areas of Ships Based on Advanced Grid Density Peak Clustering

X **ong, H Shen, L Zhu, J Zheng - International Conference on …, 2023 - Springer
The cognition of the frequent activity areas of ships based on AIS data is of great
significance in reducing port navigation risks and improving the efficiency of ships entering …