44   Artículos

 
en línea
Li Wang, Xiaosong Yang and Jianjun Zhang    
For video style transfer, naively applying still image techniques to process a video frame-by-frame independently often causes flickering artefacts. Some works adopt optical flow into the design of temporal constraint loss to secure temporal consistency.... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Chengyang Peng, Shaohua Jin, Gang Bian, Yang Cui and Meina Wang    
The scarcity and difficulty in acquiring Side-scan sonar target images limit the application of deep learning algorithms in Side-scan sonar target detection. At present, there are few amplification methods for Side-scan sonar images, and the amplificatio... ver más
Revista: Journal of Marine Science and Engineering    Formato: Electrónico

 
en línea
Georgios Karantaidis and Constantine Kotropoulos    
The detection of computer-generated (CG) multimedia content has become of utmost importance due to the advances in digital image processing and computer graphics. Realistic CG images could be used for fraudulent purposes due to the deceiving recognition ... ver más
Revista: Information    Formato: Electrónico

 
en línea
Dmitry Shved, Natalia Supolkina and Anna Yusupova    
The increasing complexity of the space flight program and the increase in the duration of missions require an improvement in psychological monitoring tools for astronauts in orbit. This article summarizes the experience of using quantitative content anal... ver más
Revista: Aerospace    Formato: Electrónico

 
en línea
Woonghee Lee, Mingeon Ju, Yura Sim, Young Kul Jung, Tae Hyung Kim and Younghoon Kim    
Deep learning-based segmentation models have made a profound impact on medical procedures, with U-Net based computed tomography (CT) segmentation models exhibiting remarkable performance. Yet, even with these advances, these models are found to be vulner... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Shihao Ma, Jiao Wu, Zhijun Zhang and Yala Tong    
Addressing the limitations, including low automation, slow recognition speed, and limited universality, of current mudslide disaster detection techniques in remote sensing imagery, this study employs deep learning methods for enhanced mudslide disaster d... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Uddom Lee, Peng Jiang, Hongyi Wu and Chunsheng Xin    
Image-based localization has been widely used for autonomous vehicles, robotics, augmented reality, etc., and this is carried out by matching a query image taken from a cell phone or vehicle dashcam to a large scale of geo-tagged reference images, such a... ver más
Revista: Future Internet    Formato: Electrónico

 
en línea
Wooseok Jeong, Seungeon Jang and Hong-Jip Kim    
Since a heat exchanger used in a gas generator of an open-cycle liquid rocket engine was operated in a high-temperature environment, the coupled analysis for heat transfer characteristics and structural integrity should be performed simultaneously. For t... ver más
Revista: Aerospace    Formato: Electrónico

 
en línea
Yejin Lee, Suho Lee and Sangheum Hwang    
Fine-grained image recognition aims to classify fine subcategories belonging to the same parent category, such as vehicle model or bird species classification. This is an inherently challenging task because a classifier must capture subtle interclass dif... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Argyrios Sideris and Minas Dasygenis    
Information is transmitted between multiple insecure routing hops in text, image, video, and audio. Thus, this multi-hop digital data transfer makes secure transmission with confidentiality and integrity imperative. This protection of the transmitted dat... ver más
Revista: Computation    Formato: Electrónico

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