1.312   Artículos

 
en línea
Tianlong Jia, Hui Qin, Dong Yan, Zhendong Zhang, Bin Liu, Chaoshun Li, Jinwen Wang and Jianzhong Zhou    
Traditional reservoir operation mainly focuses on economic benefits, while ignoring the impacts on navigation. Thus, the economic operation of reservoirs considering navigational demands is of great significance for improving benefits. A navigation capac... ver más
Revista: Water    Formato: Electrónico

 
en línea
Haoran Liu, Kehui Xu, Bin Li, Ya Han and Guandong Li    
Machine learning classifiers have been rarely used for the identification of seafloor sediment types in the rapidly changing dredge pits for coastal restoration. Our study uses multiple machine learning classifiers to identify the sediment types of the C... ver más
Revista: Water    Formato: Electrónico

 
en línea
Dongqin Liu, Zhongyi Zheng and Zihao Liu    
During the process of establishing the analytical quaternion ship domain model, the impact of ship traffic conditions and navigator state was not taken into consideration. However, the significance of these factors in the ship domain cannot be ignored. T... ver más
Revista: Journal of Marine Science and Engineering    Formato: Electrónico

 
en línea
Liyuan Wang, Pengfei Zhou, Jiayang Gu and Yapeng Li    
This study focuses on a large-scale cruise ship as the subject of research, with a particular emphasis on conditions not covered in the MSC.1/Circ.1533 guidelines. The investigation explores the impact of specific motion states of the cruise ship, includ... ver más
Revista: Journal of Marine Science and Engineering    Formato: Electrónico

 
en línea
Luzhidan Fu, Yaan Hu and Zhonghua Li    
Due to the small cross-section coefficient of a shiplift chamber, the hydraulics problem becomes a complex water flow problem in ship operation. To prevent the ship from touching the bottom and ensure the safety of ship navigation and the docking of the ... ver más
Revista: Journal of Marine Science and Engineering    Formato: Electrónico

 
en línea
Zhou Fang, Xiaoyong Wang, Liang Zhang and Bo Jiang    
Currently, deep learning is extensively utilized for ship target detection; however, achieving accurate and real-time detection of multi-scale targets remains a significant challenge. Considering the diverse scenes, varied scales, and complex backgrounds... ver más
Revista: Journal of Marine Science and Engineering    Formato: Electrónico

 
en línea
Yunfei Yang, Zhicheng Zhang, Jiapeng Zhao, Bin Zhang, Lei Zhang, Qi Hu and Jianglong Sun    
Resistance serves as a critical performance metric for ships. Swift and accurate resistance prediction can enhance ship design efficiency. Currently, methods for determining ship resistance encompass model tests, estimation techniques, and computational ... ver más
Revista: Journal of Marine Science and Engineering    Formato: Electrónico

 
en línea
Héctor Rubén Díaz Ojeda, Sebastian Oyuela, Roberto Sosa, Alejandro Daniel Otero and Francisco Pérez Arribas    
Naval hydrodynamics typically focus on reducing ship resistance, which can be achieved by incorporating a bulbous bow. This feature is commonly used in the merchant fleet and smaller vessels, such as fishing boats, to minimize wave-making resistance. How... ver más
Revista: Journal of Marine Science and Engineering    Formato: Electrónico

 
en línea
Zhikai Jiang, Li Su and Yuxin Sun    
Accurate ship object detection ensures navigation safety and effective maritime traffic management. Existing ship target detection models often have the problem of missed detection in complex marine environments, and it is hard to achieve high accuracy a... 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

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