53   Artículos

 
en línea
Christine Dewi, Danny Manongga, Hendry, Evangs Mailoa and Kristoko Dwi Hartomo    
Face mask detection is a technological application that employs computer vision methodologies to ascertain the presence or absence of a face mask on an individual depicted in an image or video. This technology gained significant attention and adoption du... ver más
Revista: Big Data and Cognitive Computing    Formato: Electrónico

 
en línea
Haradhan Kolya and Chun-Won Kang    
Face masks have become an essential commodity during the COVID-19 pandemic, and their use rises daily. Excessive face mask use will likely continue to combat the virus and bacterial impacts in the long term. Afterward, used face masks are hazardous to th... ver más
Revista: Agriculture    Formato: Electrónico

 
en línea
Wen-Chang Cheng, Hung-Chou Hsiao, Yung-Fa Huang and Li-Hua Li    
This research proposes a single network model architecture for mask face recognition using the FaceNet training method. Three pre-trained convolutional neural networks of different sizes are combined, namely InceptionResNetV2, InceptionV3, and MobileNetV... ver más
Revista: Information    Formato: Electrónico

 
en línea
Yuming Wang, Yu Li and Hua Zou    
With the continuous development of deep learning, the face recognition field has also developed rapidly. However, with the massive popularity of COVID-19, face recognition with masks is a problem that is now about to be tackled in practice. In recognizin... ver más
Revista: Information    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
Qaisar Abbas, Talal Saad Albalawi, Ganeshkumar Perumal and M. Emre Celebi    
In recent years, advances in deep learning (DL) techniques for video analysis have developed to solve the problem of real-time processing. Automated face recognition in the runtime environment has become necessary in video surveillance systems for urban ... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Viet Q. Vu, Minh-Quang Tran, Mohammed Amer, Mahesh Khatiwada, Sherif S. M. Ghoneim and Mahmoud Elsisi    
Facial mask detection technology has become increasingly important even beyond the context of the COVID-19 pandemic. Along with the advancement in facial recognition technology, face mask detection has become a crucial feature for various applications. T... ver más
Revista: Information    Formato: Electrónico

 
en línea
Maasago Mercy Sepadi and Vusumuzi Nkosi    
According to the best of our knowledge, there are no critical studies to date about associations between the work environment and prevalence of respiratory diseases and their symptoms among urban informal vendors in South Africa. This study followed a ri... ver más

 
en línea
Yinghui Wang, Wenjun Wang, Minglai Shao and Yueheng Sun    
Network alignment (NA) offers a comprehensive way to build associations between different networks by identifying shared nodes. While the majority of current NA methods rely on the topological consistency assumption, which posits that shared nodes across... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Daniel Rocha, Filomena Soares, Eva Oliveira and Vítor Carvalho    
The ways in which people dress, as well as the styles that they prefer for different contexts and occasions, are part of their identity. Every day, blind people face limitations in identifying and inspecting their garments, and dressing can be a difficul... ver más
Revista: Applied Sciences    Formato: Electrónico

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