12   Artículos

 
en línea
Linfeng Wang, Shengbo Chen, Lei Chen, Zibo Wang, Bin Liu and Yucheng Xu    
Accurately mapping urban built-up areas is critical for monitoring urbanization and development. Previous studies have shown that Night light (NTL) data is effective in characterizing the extent of human activity. But its inherently low spatial resolutio... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

 
en línea
Victoria A. Starikova, Yuri A. Konin, Alexandra Yu. Petukhova, Svetlana S. Aleshkina, Andrey A. Petrov and Anatolii V. Perminov    
This work focuses on the methods of creating in-fiber devices, such as sensors, filters, and scatterers, using the fiber fuse effect. The effect allows for the creation of structures in a fiber core. However, it is necessary to know exactly how this proc... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Tarafder Elmi Tabassum, Zhengjia Xu, Ivan Petrunin and Zeeshan A. Rana    
To enhance system reliability and mitigate the vulnerabilities of the Global Navigation Satellite Systems (GNSS), it is common to fuse the Inertial Measurement Unit (IMU) and visual sensors with the GNSS receiver in the navigation system design, effectiv... ver más
Revista: Aerospace    Formato: Electrónico

 
en línea
Zhaoyang Liu, Renxiang Guan, Jingyu Hu, Weitao Chen and Xianju Li    
Classification of remote sensing scene image (RSSI) has been broadly applied and has attracted increasing attention. However, scene classification methods based on convolutional neural networks (CNNs) require a large number of manually labeled samples as... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Ziyan Zhang, Zhiping Dan, Fangmin Dong, Zhun Gao and Yanke Zhang    
Many rumors spread quickly and widely on social media, affecting social stability. The rumors of most current detection methods only use textual information or introduce external auxiliary information (such as user information and propagation information... ver más
Revista: Information    Formato: Electrónico

 
en línea
Yao Xu and Qin Yu    
Great achievements have been made in pedestrian detection through deep learning. For detectors based on deep learning, making better use of features has become the key to their detection effect. While current pedestrian detectors have made efforts in fea... ver más
Revista: Future Internet    Formato: Electrónico

 
en línea
Chan Zeng, Junfeng Zheng and Jiangyun Li    
The conveyor belt is an indispensable piece of conveying equipment for a mine whose deviation caused by roller sticky material and uneven load distribution is the most common failure during operation. In this paper, a real-time conveyor belt detection al... ver más
Revista: Algorithms    Formato: Electrónico

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