Results 21 to 30 of about 2,658,467 (271)
Nowadays, maritime transportation has become one of the most important ways of international trade. However, with the increase in ship transportation, the complex maritime environment has led to frequent traffic accidents, causing huge economic losses ...
Hongyu Jia +3 more
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Ship Trajectory Prediction Based on BP Neural Network
In recent years, with the prosperity of world trade, the water transport industry has developed rapidly, the number of ships has surged, and ship safety accidents in busy waters and complex waterways have become more frequent.
Yaojie Chen, Sumin Zhang, Hai Zhou
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End-to-end model-based trajectory prediction for ro-ro ship route using dual-attention mechanism [PDF]
With the rapid increase of economic globalization, the significant expansion of shipping volume has resulted in shipping route congestion, causing the necessity of trajectory prediction for effective service and efficient management.
Licheng Zhao +6 more
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Informer-Based Model for Long-Term Ship Trajectory Prediction
Ship trajectory prediction is a complex time series forecasting problem that necessitates models capable of accurately capturing both long-term trends and short-term fluctuations in vessel movements.
Caiquan Xiong +4 more
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Ship trajectory prediction plays an important role in numerous maritime applications and services. With the development of deep learning technology, the deep learning prediction method based on Automatic Identification System (AIS) data has become one of
Senyang Zhao, Wei Guo, Yi Liu
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Fishing ship trajectory prediction considering trajectory behavior characteristics
Understanding and accurately predicting the trajectory changes of fishing ships is of great significance for effectively preventing collisions between merchant and fishing ships and enhancing the safety supervision of fishing ships.
Jianwen Ma +4 more
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A Ship Trajectory Prediction Method Based on an Optuna–BILSTM Model
In the field of maritime traffic management, overcoming the challenges of low prediction accuracy and computational inefficiency in ship trajectory prediction is crucial for collision avoidance.
Yipeng Zhou, Ze Dong, Xiongguan Bao
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The Mamba Model: A Novel Approach for Predicting Ship Trajectories
To address the complexity of ship trajectory prediction, this study explored the efficacy of the Mamba model, a relatively new deep-learning framework.
Yongfeng Suo, Zhengnian Ding, Tao Zhang
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Ship-Route Prediction Based on a Long Short-Term Memory Network Using Port-to-Port Trajectory Data
In this study, a ship-route prediction model based on a long short-term memory network using port-to-port trajectory data is presented. Data from a traditional automatic identification system—often used for ship-route prediction—are limited by uneven ...
Hyeong-Tak Lee, Hyun Yang
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Ship behavior prediction via trajectory extraction-based clustering for maritime situation awareness [PDF]
This study presents a method in which historical AIS data are used to predict the future trajectory of a selected vessel. This is facilitated via a system intelligence-based approach that can be subsequently utilized to provide enhanced situation ...
Perera, Lokukaluge Prasad +3 more
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