13   Artículos

 
en línea
Fang Wang, Xueliang Fu, Weijun Duan, Buyu Wang and Honghui Li    
The utilization of ear tags for identifying breeding pigs is a widely used technique in the field of animal production. Ear tag dropout can lead to the loss of pig identity information, resulting in missing data and ambiguity in production management and... ver más
Revista: Agriculture    Formato: Electrónico

 
en línea
Huiru Zhou, Qiang Lai, Qiong Huang, Dingzhou Cai, Dong Huang and Boming Wu    
The severity of rice blast and its impacts on rice yield are closely related to the inoculum quantity of Magnaporthe oryzae, and automatic detection of the pathogen spores in microscopic images can provide a rapid and effective way to quantify pathogen i... ver más
Revista: Agriculture    Formato: Electrónico

 
en línea
Fang Wang, Xueliang Fu, Weijun Duan, Buyu Wang and Honghui Li    
As the unique identifier of individual breeding pigs, the loss of ear tags can result in the loss of breeding pigs? identity information, leading to data gaps and confusion in production and genetic breeding records, which can have catastrophic consequen... ver más
Revista: Agriculture    Formato: Electrónico

 
en línea
Long Li, Qi Li, Zhiyuan Liu and Lin Xue    
The research results can quickly and accurately detect defects in the fabric production process.
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Sundas Iftikhar, Muhammad Asim, Zuping Zhang, Ammar Muthanna, Junhong Chen, Mohammed El-Affendi, Ahmed Sedik and Ahmed A. Abd El-Latif    
In smart cities, target detection is one of the major issues in order to avoid traffic congestion. It is also one of the key topics for military, traffic, civilian, sports, and numerous other applications. In daily life, target detection is one of the ch... ver más
Revista: Applied Sciences    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
Zeyuan Shao, Hongguang Lyu, Yong Yin, Tao Cheng, Xiaowei Gao, Wenjun Zhang, Qianfeng Jing, Yanjie Zhao and Lunping Zhang    
Accurate detection of sea-surface objects is vital for the safe navigation of autonomous ships. With the continuous development of artificial intelligence, electro-optical (EO) sensors such as video cameras are used to supplement marine radar to improve ... ver más
Revista: Journal of Marine Science and Engineering    Formato: Electrónico

 
en línea
Meng Yu, Shaojie Han, Tengfei Wang and Haiyan Wang    
In order to monitor traffic in congested waters, permanent video stations are now commonly used on interior riverbank bases. It is frequently challenging to identify ships properly and effectively in such images because of the intricate backdrop scenery ... ver más
Revista: Journal of Marine Science and Engineering    Formato: Electrónico

 
en línea
Sankalp Sinha, Khurram Azeem Hashmi, Alain Pagani, Marcus Liwicki, Didier Stricker and Muhammad Zeshan Afzal    
In the age of deep learning, researchers have looked at domain adaptation under the pre-training and fine-tuning paradigm to leverage the gains in the natural image domain. These backbones and subsequent networks are designed for object detection in the ... ver más
Revista: Applied Sciences    Formato: Electrónico

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