87   Artículos

 
en línea
Ye Xiao, Yupeng Hu, Jizhao Liu, Yi Xiao and Qianzhen Liu    
Ship trajectory prediction is essential for ensuring safe route planning and to have advanced warning of the dangers at sea. With the development of deep learning, most of the current research has explored advanced prediction methods based on historical ... ver más
Revista: Journal of Marine Science and Engineering    Formato: Electrónico

 
en línea
João N. Ribeiro da Silva, Tiago A. Santos and Angelo P. Teixeira    
This paper develops a methodology to estimate ship emissions using Automatic Identification System data (AIS). The methodology includes methods for AIS message decoding and ship emission estimation based on the ship?s technical and operational characteri... ver más
Revista: Journal of Marine Science and Engineering    Formato: Electrónico

 
en línea
Zhaojin Yan, Guanghao Yang, Rong He, Hui Yang, Hui Ci and Ran Wang    
Automatic identification systems (AIS) provides massive ship trajectory data for maritime traffic management, route planning, and other research. In order to explore the valuable ship traffic characteristics contained implicitly in massive AIS data, a sh... ver más
Revista: Journal of Marine Science and Engineering    Formato: Electrónico

 
en línea
Xinyu Wang and Yingjie Xiao    
The rapid growth of ship traffic leads to traffic congestion, which causes maritime accidents. Accurate ship trajectory prediction can improve the efficiency of navigation and maritime traffic safety. Previous studies have focused on developing a ship tr... ver más
Revista: Information    Formato: Electrónico

 
en línea
Pedro Pintor, Manuel Lopez-Martinez, Emilio Gonzalez, Jan Safar and Ronan Boyle    
Global Navigation Satellite System (GNSS) technology supports all phases of maritime navigation and serves as an integral component of the Automatic Identification System (AIS) and, by extension, Vessel Traffic Service (VTS) systems. However, the accurac... ver más
Revista: Journal of Marine Science and Engineering    Formato: Electrónico

 
en línea
Miro Petkovic, Igor Vujovic, Zvonimir Lu?ic and Jo?ko ?oda    
Automated surveillance systems based on machine learning and computer vision constantly evolve to improve shipping and assist port authorities. The data obtained can be used for port and port property surveillance, traffic density analysis, maritime safe... ver más
Revista: Journal of Marine Science and Engineering    Formato: Electrónico

 
en línea
Daping Xi, Yuhao Feng, Wenping Jiang, Nai Yang, Xini Hu and Chuyuan Wang    
The extraction of ship behavior patterns from Automatic Identification System (AIS) data and the subsequent prediction of travel routes play crucial roles in mitigating the risk of ship accidents. This study focuses on the Wuhan section of the dendritic ... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

 
en línea
Irina Sirkova    
Two clear-air over-the-horizon propagation mechanisms affecting the Automatic Identification System (AIS) detection range are considered. Comparison results are presented between the path loss due to tropospheric ducting and path loss due to tropospheric... ver más
Revista: Journal of Marine Science and Engineering    Formato: Electrónico

 
en línea
Vlado Francic, Nermin Hasanspahic, Mario Mandu?ic and Marko Strabic    
It is of the utmost importance to accurately estimate different ships? weights during their design stages. Additionally, lightship displacement (LD) data are not always easily accessible to shipping stakeholders, while other ships? dimensions are within ... ver más
Revista: Journal of Marine Science and Engineering    Formato: Electrónico

 
en línea
Jeong-Hyun Yoon, Se-Won Kim, Jeong-On Eom, Jaeyong Oh and Hye-Jin Kim    
Coastal regions worldwide face increasing air pollution due to maritime activities. This technical note focuses on assessing the air pollution in the Daesan port area, Republic of Korea, using hourly emission measurements. Leveraging Automatic Identifica... ver más
Revista: Journal of Marine Science and Engineering    Formato: Electrónico

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