162   Artículos

 
en línea
Weiying Wang and Toshihiro Osaragi    
The generation and prediction of daily human mobility patterns have raised significant interest in many scientific disciplines. Using various data sources, previous studies have examined several deep learning frameworks, such as the RNN and GAN, to synth... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

 
en línea
Yong Liu, Jialin Zhou, Dong Zhang, Shaoyu Wei, Mingshun Yang and Xinqin Gao    
To solve the problem of low diagnostic accuracy caused by the scarcity of fault samples and class imbalance in the fault diagnosis task of box-type substations, a fault diagnosis method based on self-attention improvement of conditional tabular generativ... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Guoqing Dong, Weirong Li, Zhenzhen Dong, Cai Wang, Shihao Qian, Tianyang Zhang, Xueling Ma, Lu Zou, Keze Lin and Zhaoxia Liu    
The developed prototype provides a more efficient and accurate solution for classifying dynagraph cards, meeting the requirements of oil field operations and enhancing economic benefits and work efficiency.
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Hoan-Suk Choi and Jinhong Yang    
Suicidal ideation constitutes a critical concern in mental health, adversely affecting individuals and society at large. The early detection of such ideation is vital for providing timely support to individuals and mitigating its societal impact. With so... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Shaoyan Zuo, Dazhi Wang, Xiao Wang, Liujia Suo, Shuaiwu Liu, Yongqing Zhao and Dewang Liu    
In this study, a deep learning network for extracting spatial-temporal features is proposed to estimate significant wave height (???? H s ) and wave period (???? T s ) from X-band marine radar images. Since the shore-based radar image in this study is in... ver más
Revista: Journal of Marine Science and Engineering    Formato: Electrónico

 
en línea
Jing Luo, Yuhang Zhang, Jiayuan Zhuang and Yumin Su    
The development of intelligent task allocation and path planning algorithms for unmanned surface vehicles (USVs) is gaining significant interest, particularly in supporting complex ocean operations. This paper proposes an intelligent hybrid algorithm tha... ver más
Revista: Journal of Marine Science and Engineering    Formato: Electrónico

 
en línea
Sen Xue, Chengyu Wu, Jing Han and Ao Zhan    
How to select the transmitting path in MPTCP scheduling is an important but open problem. This paper proposes an intelligent data scheduling algorithm using spatiotemporal synchronous graph attention neural networks to improve MPTCP scheduling. By exploi... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Zhao Xiong and Jiang Wu    
Malaria is one of the major global health threats. Microscopic examination has been designated as the ?gold standard? for malaria detection by the World Health Organization. However, it heavily relies on the experience of doctors, resulting in long diagn... ver más
Revista: Information    Formato: Electrónico

 
en línea
Wen Tian, Yining Zhang, Ying Zhang, Haiyan Chen and Weidong Liu    
To fully leverage the spatiotemporal dynamic correlations in air traffic flow and enhance the accuracy of traffic flow prediction models, thereby providing a more precise basis for perceiving congestion situations in the air route network, a study was co... ver más
Revista: Aerospace    Formato: Electrónico

 
en línea
Qiuyue Li, Hao Sheng, Mingxue Sheng and Honglin Wan    
Efficient document recognition and sharing remain challenges in the healthcare, insurance, and finance sectors. One solution to this problem has been the use of deep learning techniques to automatically extract structured information from paper documents... ver más
Revista: Applied Sciences    Formato: Electrónico

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