31   Artículos

 
en línea
Shanghao Liu, Chunjiang Zhao, Hongming Zhang, Qifeng Li, Shuqin Li, Yini Chen, Ronghua Gao, Rong Wang and Xuwen Li    
A clear understanding of the number of pigs plays a crucial role in breeding management. Computer vision technology possesses several advantages, as it is harmless and labour-saving compared to traditional counting methods. Nevertheless, the existing met... ver más
Revista: Agriculture    Formato: Electrónico

 
en línea
Damilola Akingbesote, Ying Zhan, Rytis Maskeliunas and Robertas Dama?evicius    
The paper presents an evaluation of a Pareto-optimized FaceNet model with data preprocessing techniques to improve the accuracy of face recognition in the era of mask-wearing. The COVID-19 pandemic has led to an increase in mask-wearing, which poses a ch... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Jianyuan Li, Xiaochun Lu, Ping Zhang and Qingquan Li    
The timely identification and detection of surface cracks in concrete dams, an important public safety infrastructure, is of great significance in predicting engineering hazards and ensuring dam safety. Due to their low efficiency and accuracy, manual de... ver más
Revista: Water    Formato: Electrónico

 
en línea
Tommaso Guidi, Lorenzo Python, Matteo Forasassi, Costanza Cucci, Massimiliano Franci, Fabrizio Argenti and Andrea Barucci    
The objective of this work is to show the application of a Deep Learning algorithm able to operate the segmentation of ancient Egyptian hieroglyphs present in an image, with the ambition to be as versatile as possible despite the variability of the image... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Fei Yan, Hui Zhang, Yaogen Li, Yongjia Yang and Yinping Liu    
Raw image classification datasets generally maintain a long-tailed distribution in the real world. Standard classification algorithms face a substantial issue because many labels only relate to a few categories. The model learning processes will tend tow... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Ching-Ta Lu, Chun-Jen Ou and Yen-Yu Lu    
The proposed app can help quickly calculate the number of people, avoid crowd gathering, and cause the risk of group infections for COVID-19.
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Massimo Magrini, Fabrizio Matarese and Davide Moroni    
Augmented reality techniques have recently found many applications in the field of cultural heritage. When used in outdoor scenarios, however, this technology can face several issues, mainly due to unstable light conditions, jeopardizing the users? exper... ver más
Revista: Information    Formato: Electrónico

 
en línea
Beáta Ballóková, Marián Lázár, Natália Jasminská, Zuzana Molcanová, ?tefan Michalik, Tomá? Brestovic, Jozef ?ivcák and Karol Saksl    
SARS-CoV-2 is the causative agent of severe acute respiratory diseases. Its main transmission pathway is through large and small respiratory droplets, as well as a direct and indirect contact. In this paper, we present the results of the development and ... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Kamran Javed, Nizam Ud Din, Ghulam Hussain and Tahir Farooq    
Face photographs taken on a bright sunny day or in floodlight contain unnecessary shadows of objects on the face. Most previous works deal with removing shadow from scene images and struggle with doing so for facial images. Faces have a complex semantic ... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Hongtao Zhu, Huahu Xu, Xiaojin Ma and Minjie Bian    
Facial Expression Recognition (FER) can achieve an understanding of the emotional changes of a specific target group. The relatively small dataset related to facial expression recognition and the lack of a high accuracy of expression recognition are both... ver más
Revista: Future Internet    Formato: Electrónico

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