151   Artículos

 
en línea
Fang Ren, Xuan Shi, Enya Tang and Mengmeng Zeng    
To protect the security of medical images and to improve the embedding ability of data in encrypted medical images, this paper proposes a permutation ordered binary (POB) number system-based hiding and authentication scheme for medical images, which incl... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Hao Gu, Ming Chen and Dongmei Gan    
The identification of gender in Chinese mitten crab juveniles is a critical prerequisite for the automatic classification of these crab juveniles. Aiming at the problem that crab juveniles are of different sizes and relatively small, with unclear male an... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Fabi Prezja, Leevi Annala, Sampsa Kiiskinen and Timo Ojala    
Diagnosing knee joint osteoarthritis (KOA), a major cause of disability worldwide, is challenging due to subtle radiographic indicators and the varied progression of the disease. Using deep learning for KOA diagnosis requires broad, comprehensive dataset... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Sivapriya Sethu Ramasubiramanian, Suresh Sivasubramaniyan and Mohamed Fathimal Peer Mohamed    
Detection and classification of icebergs and ships in synthetic aperture radar (SAR) images play a vital role in marine surveillance systems even though available adaptive threshold methods give satisfying results on detection and classification for ship... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Bruno Carpentieri and Francesco Palmieri    
The vast majority of compressed digital data that flows nowadays on modern high-speed networks is directly related to human activity. It describes what we do, what we see and photograph, where we go, whom we meet, and specifically every moment of our liv... ver más
Revista: Information    Formato: Electrónico

 
en línea
Yue Wang and John J. Healy    
Gibbs ringing is an artefact that is inevitable in any imaging modality where the measurement is Fourier band-limited. It impacts the quality of the image by creating a ringing appearance around discontinuities. Many novel ways of suppressing the artefac... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Qinnan Fei, Jiancheng Cao, Wanli Xu, Linzhao Jiang, Jun Zhang, Hui Ding, Xiaohong Li and Jingli Yan    
This study concentrates on the field of intelligent nondestructive testing, presenting a CNN?based method for accurately evaluating the depth of micro?defects on or near a surface. The innovation in this study lies in several key aspects: (1) The establi... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Mateusz Dziubek, Jacek Rysinski and Daniel Jancarczyk    
Automated monitoring of cutting tool wear is of paramount importance in the manufacturing industry, as it directly impacts production efficiency and product quality. Traditional manual inspection methods are time-consuming and prone to human error, neces... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Du Wang, Xue Li, Fei Ma, Li Yu, Wen Zhang, Jun Jiang, Liangxiao Zhang and Peiwu Li    
In this study, a fast and non-destructive method was proposed to analyze rapeseed quality parameters with the help of NIR hyperspectral imaging spectroscopy and chemometrics. Hyperspectral images were acquired in the reflectance mode. Meanwhile, the regi... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Lili Wei, Lingkai Kong, Zhigang Liu, Zhenglong Yang and Hua Zhang    
According to the intelligent development needs of railway operation and maintenance, turnout maintenance also needs an efficient and intelligent means of detection. It is the main method used to measure the access depth of static contact manually. In ord... ver más
Revista: Applied Sciences    Formato: Electrónico

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