ARTÍCULO
TITULO

A method for increasing depth of field during droplet imaging

Saylor    
J. R. Jones    
B. K. Bliven    
L. F.    

Resumen

No disponible

 Artículos similares

       
 
Jinghang Xiao, Bo Liang, Jia?an Niu and Can Qin    
In response to the special feature of the east?west oriented road tunnel entrance being easily exposed to direct sunlight, a study was conducted on the glare phenomenon at the access zone for this type of tunnel and on the time-varying characteristics of... ver más
Revista: Applied Sciences

 
Lei Zhou, Weiye Xiao, Chen Wang, Haoran Wang     Pág. 143 - 161
Human mobility datasets, such as traffic flow data, reveal the connections between urban spaces. A novel framework is proposed to explore the spatial association between urban commercial and residential spaces via consumption travel flows in Shanghai. A ... ver más

 
Mingsheng Chen, Lenan Yang, Xinghan Sun, Jin Pan, Kai Zhang, Lin Lin, Qihao Yun and Ziwen Chen    
Evidence points to increasing the development of floating wind turbines to unlock the full potential of worldwide wind-energy generation. Barge-type floating wind turbines are of interest because of their shallow draft, structural simplicity, and moonpoo... ver más

 
Wenbo Peng and Jinjie Huang    
Current object detection methods typically focus on addressing the distribution discrepancies between source and target domains. However, solely concentrating on this aspect may lead to overlooking the inherent limitations of the samples themselves. This... ver más
Revista: Applied Sciences

 
Chenglin Yang, Dongliang Xu and Xiao Ma    
Due to the increasing severity of network security issues, training corresponding detection models requires large datasets. In this work, we propose a novel method based on generative adversarial networks to synthesize network data traffic. We introduced... ver más
Revista: Applied Sciences