404   Artículos

 
en línea
Yuhuan Wu and Yonghong Wu    
Salient object detection (SOD) aims to identify the most visually striking objects in a scene, simulating the function of the biological visual attention system. The attention mechanism in deep learning is commonly used as an enhancement strategy which e... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Chunling Wang, Tianyi Hang, Changke Zhu and Qi Zhang    
The Czech Republic is one of the countries along the Belt and Road Initiative, and classifying land cover in the Czech Republic helps to understand the distribution of its forest resources, laying the foundation for forestry cooperation between China and... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Yaoqiang Pan, Xvlin Xiao, Kewei Hu, Hanwen Kang, Yangwen Jin, Yan Chen and Xiangjun Zou    
In an unmanned orchard, various tasks such as seeding, irrigation, health monitoring, and harvesting of crops are carried out by unmanned vehicles. These vehicles need to be able to distinguish which objects are fruit trees and which are not, rather than... ver más
Revista: Agronomy    Formato: Electrónico

 
en línea
Charlee Kaewrat, Dollaporn Anopas, Si Thu Aung and Yunyong Punsawad    
This study presents an augmented reality application for training chest electrocardiography electrode placement. AR applications featuring augmented object displays and interactions have been developed to facilitate learning and training of electrocardio... ver más
Revista: Informatics    Formato: Electrónico

 
en línea
Jerry Gao, Charanjit Kaur Bambrah, Nidhi Parihar, Sharvaree Kshirsagar, Sruthi Mallarapu, Hailong Yu, Jane Wu and Yunyun Yang    
With the development of artificial intelligence, the intelligence of agriculture has become a trend. Intelligent monitoring of agricultural activities is an important part of it. However, due to difficulties in achieving a balance between quality and cos... ver más
Revista: Agriculture    Formato: Electrónico

 
en línea
Yuchen Dong, Heng Zhou, Chengyang Li, Junjie Xie, Yongqiang Xie and Zhongbo Li    
Camouflaged object detection (COD) is an arduous challenge due to the striking resemblance of camouflaged objects to their surroundings. The abundance of similar background information can significantly impede the efficiency of camouflaged object detecti... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Adil Redaoui, Amina Belalia and Kamel Belloulata    
Deep network-based hashing has gained significant popularity in recent years, particularly in the field of image retrieval. However, most existing methods only focus on extracting semantic information from the final layer, disregarding valuable structura... ver más
Revista: Information    Formato: Electrónico

 
en línea
Enze Song, Guangcheng Shao, Xueying Zhu, Wei Zhang, Yan Dai and Jia Lu    
Plant height and biomass are important indicators of rice yield. Here we combined measured plant physiological traits with a crop growth model driven by unmanned aerial vehicle spectral data to quantify the changes in rice plant height and biomass under ... ver más
Revista: Agronomy    Formato: Electrónico

 
en línea
Noor Ul Ain Tahir, Zuping Zhang, Muhammad Asim, Junhong Chen and Mohammed ELAffendi    
Enhancing the environmental perception of autonomous vehicles (AVs) in intelligent transportation systems requires computer vision technology to be effective in detecting objects and obstacles, particularly in adverse weather conditions. Adverse weather ... ver más
Revista: Algorithms    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

« Anterior     Página: 1 de 25     Siguiente »