57   Artículos

 
en línea
Xiuying Xu, Yingying Gao, Changhao Fu, Jinkai Qiu and Wei Zhang    
The cover of corn stover has a significant effect on the emergence and growth of soybean seedlings. Detecting corn stover covers is crucial for assessing the extent of no-till farming and determining subsidies for stover return; however, challenges such ... ver más
Revista: Agriculture    Formato: Electrónico

 
en línea
Tianhao Gao, Meng Zhang, Yifan Zhu, Youjian Zhang, Xiangsheng Pang, Jing Ying and Wenming Liu    
Classifying sports videos is complex due to their dynamic nature. Traditional methods, like optical flow and the Histogram of Oriented Gradient (HOG), are limited by their need for expertise and lack of universality. Deep learning, particularly Convoluti... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Salman Ibne Eunus, Shahriar Hossain, A. E. M. Ridwan, Ashik Adnan, Md. Saiful Islam, Dewan Ziaul Karim, Golam Rabiul Alam and Jia Uddin    
Accidents due to defective railway lines and derailments are common disasters that are observed frequently in Southeast Asian countries. It is imperative to run proper diagnosis over the detection of such faults to prevent such accidents. However, manual... ver más
Revista: AI    Formato: Electrónico

 
en línea
Jian Song, Zhihong Yu, Guimei Qi, Qiang Su, Jingjing Xie and Wenhang Liu    
There are many small objects in UAV images, and the object scale varies greatly. When the SSD algorithm detects them, the backbone network?s feature extraction capabilities are poor; it does not fully utilize the semantic information in the deeper featur... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Jingying Zhang and Tengfei Bao    
Crack detection is an important component of dam safety monitoring. Detection methods based on deep convolutional neural networks (DCNNs) are widely used for their high efficiency and safety. Most existing DCNNs with high accuracy are too complex for use... ver más
Revista: Water    Formato: Electrónico

 
en línea
Pilar Rosado-Rodrigo and Ferran Reverter    
In the context of a society saturated in images, convolutional neural networks (CNNs), pre-trained using from the visual information contained in many thousands of images, constitute a tool that is of great use in helping us to organize the visual herita... ver más
Revista: Big Data and Cognitive Computing    Formato: Electrónico

 
en línea
Lili Yang, Changlong Wang, Jianfeng Yu, Nan Xu and Dongwei Wang    
Peanuts are prone to insect damage, breakage, germination, mildew, and other defects, which makes the quality of peanuts uneven. The difference in peanut pod quality makes the price and economic benefit also have a big difference. The classification of p... ver más
Revista: Agriculture    Formato: Electrónico

 
en línea
Mingyu Zhang, Fei Gao, Wuping Yang and Haoran Zhang    
In this paper, we propose a wildlife detection algorithm based on improved YOLOv5s by combining six real wildlife images of different sizes and forms as datasets. Firstly, we use the RepVGG model to simplify the network structure that integrates the idea... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Wenxin Yang, Xiaoli Zhi and Weiqin Tong    
Current edge devices for neural networks such as FPGA, CPLD, and ASIC can support low bit-width computing to improve the execution latency and energy efficiency, but traditional linear quantization can only maintain the inference accuracy of neural netwo... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Yongchao Song, Tao Huang, Xin Fu, Yahong Jiang, Jindong Xu, Jindong Zhao, Weiqing Yan and Xuan Wang    
Lane line detection is a fundamental and critical task for geographic information perception of driverless and advanced assisted driving. However, the traditional lane line detection method relies on manual adjustment of parameters, and has poor universa... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

« Anterior     Página: 1 de 4     Siguiente »