21   Artículos

 
en línea
Lin Mu, Haiwen Tu, Xiongfei Geng, Fangli Qiao, Zhihui Chen, Sen Jia, Ruifei Zhu, Tianyu Zhang and Zhi Chen    
Annually, hundreds of individuals tragically lose their lives at sea due to shipwrecks or aircraft accidents. For search and rescue personnel, the task of locating the debris of a downed aircraft in the vastness of the ocean presents a formidable challen... ver más
Revista: Journal of Marine Science and Engineering    Formato: Electrónico

 
en línea
Ying-Hsun Lai, Shin-Yeh Chen, Wen-Chi Chou, Hua-Yang Hsu and Han-Chieh Chao    
Federated learning trains a neural network model using the client?s data to maintain the benefits of centralized model training while maintaining their privacy. However, if the client data are not independently and identically distributed (non-IID) becau... ver más
Revista: Future Internet    Formato: Electrónico

 
en línea
Pengfei Ning, Dianjun Zhang, Xuefeng Zhang, Jianhui Zhang, Yulong Liu, Xiaoyi Jiang and Yansheng Zhang    
The Array for Real-time Geostrophic Oceanography (Argo) program provides valuable data for maritime research and rescue operations. This paper is based on Argo historical and satellite observations, and inverted sea surface and submarine drift trajectori... ver más
Revista: Journal of Marine Science and Engineering    Formato: Electrónico

 
en línea
Hafizul Islam and Md. Mashiur Rahaman    
The paper explores the propulsive power requirements and manoeuvring capabilities of a popular class of inland bulk carriers in Bangladesh. After the initial verification study, model-scale CFD simulations are performed in calm, open waters at different ... ver más
Revista: Journal of Marine Science and Engineering    Formato: Electrónico

 
en línea
Siyao Yan, Jing Zhang, Mosharaf Md Parvej and Tianchi Zhang    
This paper proposes a novel Sea Drift Trajectory Prediction method based on the Quantum Convolutional Long Short-Term Memory (QCNN-LSTM) model. Accurately predicting sea drift trajectories is a challenging task, as they are influenced by various complex ... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Wenyu Cao, Benbo Sun and Pengxiao Wang    
Rapidly developed deep learning methods, widely used in various fields of civil engineering, have provided an efficient option to reduce the computational costs and improve the predictive capabilities. However, it should be acknowledged that the applicat... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Jishuai Wang, Yazhou Xie, Tong Guo and Zhenyu Du    
Most regional seismic damage assessment (RSDA) methods are based on the rigid-base assumption to ensure evaluating efficiency, while these practices introduce factual errors due to neglecting the soil?structure interaction (SSI). Predicting the influence... ver más
Revista: Buildings    Formato: Electrónico

 
en línea
Vito Vasilis Zheku, Diego Villa, Benedetto Piaggio, Stefano Gaggero and Michele Viviani    
During the early design stage of an underwater vehicle, the correct assessment of its manoeuvrability is a crucial task. Conducting experimental tests still has high costs, especially when dealing with small vehicles characterized by low available budget... ver más
Revista: Journal of Marine Science and Engineering    Formato: Electrónico

 
en línea
Ali Raza and Hua Wang    
This paper presents a two-phase guidance and control algorithm to extend the range and improve the impact point accuracy of a 122-mm rocket using a fixed canards trajectory correction fuze. The guidance algorithm consists of a unique glide and correction... ver más
Revista: Aerospace    Formato: Electrónico

 
en línea
Hailong Zhao, Shu Gan, Xiping Yuan, Lin Hu, Junjie Wang and Shuai Liu    
Iron oxide is the main form of iron present in soils, and its accumulation and migration activities reflect the leaching process and the degree of weathering development of the soil. Therefore, it is important to have information on the iron oxide conten... ver más
Revista: Agriculture    Formato: Electrónico

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