17   Artículos

 
en línea
Luigi Gianpio Di Maggio, Eugenio Brusa and Cristiana Delprete    
The Intelligent Fault Diagnosis of rotating machinery calls for a substantial amount of training data, posing challenges in acquiring such data for damaged industrial machinery. This paper presents a novel approach for generating synthetic data using a G... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Kaziwa Saleh, Sándor Szénási and Zoltán Vámossy    
Although current computer vision systems are closer to the human intelligence when it comes to comprehending the visible world than previously, their performance is hindered when objects are partially occluded. Since we live in a dynamic and complex envi... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Xinbo Huang, Zhiwei Song, Chao Ji, Ye Zhang and Luya Yang    
Different types of surface defects will occur during the production of strip steel. To ensure production quality, it is essential to classify these defects. Our research indicates that two main problems exist in the existing strip steel surface defect cl... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Mazen Gazzan and Frederick T. Sheldon    
Recent ransomware attacks threaten not only personal files but also critical infrastructure like smart grids, necessitating early detection before encryption occurs. Current methods, reliant on pre-encryption data, suffer from insufficient and rapidly ou... ver más
Revista: Future Internet    Formato: Electrónico

 
en línea
Sampada Tavse, Vijayakumar Varadarajan, Mrinal Bachute, Shilpa Gite and Ketan Kotecha    
With the advances in brain imaging, magnetic resonance imaging (MRI) is evolving as a popular radiological tool in clinical diagnosis. Deep learning (DL) methods can detect abnormalities in brain images without an extensive manual feature extraction proc... ver más
Revista: Future Internet    Formato: Electrónico

 
en línea
Rukesh Prajapati and Goo-Rak Kwon    
More accurate diagnosis of brain disorders can be achieved by properly analyzing structural changes in the brain. For the quantification of change in brain structure, the segmentation task is crucial. Recently, generative adversarial networks (GAN) have ... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Jao-Chuan Lin, Chih-Bin Hsu, Jen-Chun Lee, Chung-Hsien Chen and Te-Ming Tu    
Underwater images often come with blurriness, lack of contrast, and low saturation due to the physics of light propagation, absorption, and scattering in seawater. To improve the visual quality of underwater images, many have proposed image processing me... ver más
Revista: Journal of Marine Science and Engineering    Formato: Electrónico

 
en línea
Yeongseop Lee and Seongjin Lee    
Colorization of line-arts in storyboards for media industries including movie, animation, and game. Automatic colorization of comic strips, anime style images, and cartoons.
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Minsoo Hong and Yoonsik Choe    
The de-blurring of blurred images is one of the most important image processing methods and it can be used for the preprocessing step in many multimedia and computer vision applications. Recently, de-blurring methods have been performed by neural network... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Xinhua Liu, Yao Zou, Chengjuan Xie, Hailan Kuang and Xiaolin Ma    
The use of computers to simulate facial aging or rejuvenation has long been a hot research topic in the field of computer vision, and this technology can be applied in many fields, such as customs security, public places, and business entertainment. With... ver más
Revista: Information    Formato: Electrónico

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