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Xiaoyun Zhang, Xiaoan Zhang, Jiangang Xu, Li Yang and Gao Song
In the actual operation of urban rail transit (URT), the vibrations of steel-spring floating-slab tracks (SSFSTs) are amplified, and the track structure has strong low-frequency acoustic radiation; therefore, it is necessary to study the acoustic radiati...
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Lichao Sun, Yunyun Dong, Shuang Xu, Xiufang Feng and Xiaole Fan
Epidermal growth factor receptor (EGFR) and Kirsten rat sarcoma (KRAS) are the most common driver genes in non-small cell lung cancer patients. However, frequent gene mutation testing raises a potential risk of cancer metastasis. In our paper, a Mut-SeRe...
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Tao Zhou, Liang Luo, Yuanxin He, Zhiwei Fan and Shengchen Ji
The panel block is a quite important ?intermediate product? in the shipbuilding process. However, the assembly efficiency of the panel block assembly line is not high. Therefore, rational scheduling optimization is of great significance for improving shi...
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Rong Wang, Ronghua Gao, Qifeng Li and Jiabin Dong
As machine vision technology has advanced, pig face recognition has gained wide attention as an individual pig identification method. This study establishes an improved ResNAM network as a backbone network for pig face image feature extraction by combini...
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Youngki Park and Youhyun Shin
The existing block-based machine learning educational environments have a drawback in that they do not support model training based on large-scale data. This makes it difficult for young students to learn the importance of large amounts of data when crea...
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Wei-Wei Jin, Guo-Hong Chen, Zhuo Chen, Yun-Lei Sun, Jie Ni, Hao Huang, Wai-Hung Ip and Kai-Leung Yung
In this work, we propose a road pavement damage detection deep learning model based on feature points from a local minimum of grayscale. First, image blocks, consisting of the neighborhood of feature points, are cut from the image window to form an image...
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Yao Zhao, Guangxia Wang, Jian Yang, Lantian Zhang and Xiaofei Qi
The geographical feature extraction of historical maps is an important foundation for realizing the transition from human map reading to machine map reading. The current methods for building block extraction from historical maps have many problems, such ...
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Rong Du, Weiwei Li, Shudong Chen, Congying Li and Yong Zhang
Underwater image enhancement recovers degraded underwater images to produce corresponding clear images. Image enhancement methods based on deep learning usually use paired data to train the model, while such paired data, e.g., the degraded images and the...
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Jiangfan Feng and Chengjie Yi
Recent advances in unmanned aerial vehicles (UAVs) have increased altitude capability in road-traffic monitoring. However, state-of-the-art vehicle detection methods still lack accurate abilities and lightweight structures in the UAV platform due to the ...
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Sergii Patkovskyi,Liudmyla Kharsun
Pág. 23 - 33
This paper deals with intermodal operations optimization methods to be implemented by the Block Train Operator upon cargo flows asymmetries at the hinterland. The algorithm of containerized cargo flows analysis and mathematical model were developed based...
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