60   Artículos

 
en línea
Chenhong Yan, Shefeng Yan, Tianyi Yao, Yang Yu, Guang Pan, Lu Liu, Mou Wang and Jisheng Bai    
Ship-radiated noise classification is critical in ocean acoustics. Recently, the feature extraction method combined with time?frequency spectrograms and convolutional neural networks (CNNs) has effectively described the differences between various underw... ver más
Revista: Journal of Marine Science and Engineering    Formato: Electrónico

 
en línea
Zhenyu Yin, Feiqing Zhang, Guangyuan Xu, Guangjie Han and Yuanguo Bi    
Confronting the challenge of identifying unknown fault types in rolling bearing fault diagnosis, this study introduces a multi-scale bearing fault diagnosis method based on transfer learning. Initially, a multi-scale feature extraction network, MBDCNet, ... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Xialan He, Ting Wang and Wankou Yang    
Due to the limitations of traditional retinal blood vessel segmentation algorithms in feature extraction, vessel breakage often occurs at the end. To address this issue, a retinal vessel segmentation algorithm based on a modified U-shaped network is prop... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Ruoyang Li, Shuping Xiong, Yinchao Che, Lei Shi, Xinming Ma and Lei Xi    
Semantic segmentation algorithms leveraging deep convolutional neural networks often encounter challenges due to their extensive parameters, high computational complexity, and slow execution. To address these issues, we introduce a semantic segmentation ... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Jiao Su, Yi An, Jialin Wu and Kai Zhang    
Pedestrian detection has always been a difficult and hot spot in computer vision research. At the same time, pedestrian detection technology plays an important role in many applications, such as intelligent transportation and security monitoring. In comp... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Qing Dong, Lina Sun, Tianxin Han, Minqi Cai and Ce Gao    
Timely and effective pest detection is essential for agricultural production, facing challenges such as complex backgrounds and a vast number of parameters. Seeking solutions has become a pressing matter. This paper, based on the YOLOv5 algorithm, develo... ver más
Revista: Agriculture    Formato: Electrónico

 
en línea
Shanghao Liu, Chunjiang Zhao, Hongming Zhang, Qifeng Li, Shuqin Li, Yini Chen, Ronghua Gao, Rong Wang and Xuwen Li    
A clear understanding of the number of pigs plays a crucial role in breeding management. Computer vision technology possesses several advantages, as it is harmless and labour-saving compared to traditional counting methods. Nevertheless, the existing met... ver más
Revista: Agriculture    Formato: Electrónico

 
en línea
Wenji Yang and Xiaoying Qiu    
The damage caused by pests to crops results in reduced crop yield and compromised quality. Accurate and timely pest detection plays a crucial role in helping farmers to defend against and control pests. In this paper, a novel crop pest detection model na... ver más
Revista: Agriculture    Formato: Electrónico

 
en línea
Yutuo Yang, Wei Liang, Daoxian Zhou, Yinlong Zhang and Gaofei Xu    
Cultural artifacts found underwater are located in complex environments with poor imaging conditions. In addition, the artifacts themselves present challenges for automated object detection owing to variations in their shape and texture caused by breakag... ver más
Revista: Journal of Marine Science and Engineering    Formato: Electrónico

 
en línea
Huiwen Ji, Min Xia, Dongsheng Zhang and Haifeng Lin    
Cloud and cloud shadow detection are essential in remote sensing imagery applications. Few semantic segmentation models were designed specifically for clouds and their shadows. Based on the visual and distribution characteristics of clouds and their shad... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

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