29   Artículos

 
en línea
Linhua Zhang, Ning Xiong, Wuyang Gao and Peng Wu    
With the exponential growth of remote sensing images in recent years, there has been a significant increase in demand for micro-target detection. Recently, effective detection methods for small targets have emerged; however, for micro-targets (even fewer... ver más
Revista: Information    Formato: Electrónico

 
en línea
Yiming Mo, Lei Wang, Wenqing Hong, Congzhen Chu, Peigen Li and Haiting Xia    
The intrusion of foreign objects on airport runways during aircraft takeoff and landing poses a significant safety threat to air transportation. Small-scale Foreign Object Debris (FOD) cannot be ruled out on time by traditional manual inspection, and the... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Yingdong Ye, Rong Zhen, Zheping Shao, Jiacai Pan and Yubing Lin    
The intelligent perception ability of the close-range navigation environment is the basis of autonomous decision-making and control of unmanned ships. In order to realize real-time perception of the close-range environment of unmanned ships, an enhanced ... ver más
Revista: Journal of Marine Science and Engineering    Formato: Electrónico

 
en línea
Rui Ren, Haixia Sun, Shujuan Zhang, Ning Wang, Xinyuan Lu, Jianping Jing, Mingming Xin and Tianyu Cui    
To detect quickly and accurately ?Yuluxiang? pear fruits in non-structural environments, a lightweight YOLO-GEW detection model is proposed to address issues such as similar fruit color to leaves, fruit bagging, and complex environments. This model impro... ver más
Revista: Agronomy    Formato: Electrónico

 
en línea
Linhua Zhang, Ning Xiong, Xinghao Pan, Xiaodong Yue, Peng Wu and Caiping Guo    
In unmanned aerial vehicle photographs, object detection algorithms encounter challenges in enhancing both speed and accuracy for objects of different sizes, primarily due to complex backgrounds and small objects. This study introduces the PDWT-YOLO algo... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Xinjian Xiang, Haibin Hu, Yi Ding, Yongping Zheng and Shanbao Wu    
This study proposes a GC-YOLOv5s crack-detection network of UAVs to work out several issues, such as the low efficiency, low detection accuracy caused by shadows, occlusions and low contrast, and influences due to road noise in the classic crack-detectio... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Hui Luo, Lianming Cai and Chenbiao Li    
As the operational time of the railway increases, rail surfaces undergo irreversible defects. Once the defects occur, it is easy for them to develop rapidly, which seriously threatens the safe operation of trains. Therefore, the accurate and rapid detect... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Qing Zhao, Honglei Wei and Xianyi Zhai    
The proposed method for tire specification character recognition based on the YOLOv5 network aimed to address the low efficiency and accuracy of the current character recognition methods. The approach involved making three major modifications to the YOLO... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Langyu Wang, Yan Zhang, Yahong Lin, Shuai Yan, Yuanyuan Xu and Bo Sun    
Aiming at the problem of insufficient feature extraction, low precision, and recall in sea surface ship detection, a YOLOv5 algorithm based on lightweight convolution and attention mechanism is proposed. We combine the receptive field enhancement module ... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Hongyun Hao, Peng Fang, Enze Duan, Zhichen Yang, Liangju Wang and Hongying Wang    
Stacked cage is the main breeding method of the large-scale farm in China. In broiler farms, dead broiler inspection is a routine task in the breeding process. It refers to the manual inspection of all cages and removal of dead broilers in the broiler ho... ver más
Revista: Agriculture    Formato: Electrónico

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