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Madhav Mukherjee, Ngoc Thuy Le, Yang-Wai Chow and Willy Susilo
As the demand for cybersecurity experts in the industry grows, we face a widening shortage of skilled professionals. This pressing concern has spurred extensive research within academia and national bodies, who are striving to bridge this skills gap thro...
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Elham Azizi and Loutfouz Zaman
According to the American Humane Association, millions of cats and dogs are lost yearly. Only a few thousand of them are found and returned home. In this work, we use deep learning to help expedite the procedure of finding lost cats and dogs, for which a...
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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...
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Manuel Domínguez-Dorado, Francisco J. Rodríguez-Pérez, Javier Carmona-Murillo, David Cortés-Polo and Jesús Calle-Cancho
Public sector organizations are facing an escalating challenge with the increasing volume and complexity of cyberattacks, which disrupt essential public services and jeopardize citizen data and privacy. Effective cybersecurity management has become an ur...
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Gemma S. Parra-Dominguez, Raul E. Sanchez-Yanez and Carlos H. Garcia-Capulin
The inability to move the muscles of the face on one or both sides is known as facial paralysis, which may affect the ability of the patient to speak, blink, swallow saliva, eat, or communicate through natural facial expressions. The well-being of the pa...
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J. Gerard Wolff
This paper aims to describe how pattern recognition and scene analysis may with advantage be viewed from the perspective of the SP system (meaning the SP theory of intelligence and its realisation in the SP computer model (SPCM), both described in an app...
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Huoyou Li, Jianshiun Hu, Jingwen Yu, Ning Yu and Qingqiang Wu
With the application of deep convolutional neural networks, the performance of computer vision tasks has been improved to a new level. The construction of a deeper and more complex network allows the face recognition algorithm to obtain a higher accuracy...
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Erion-Vasilis Pikoulis, Zafeiria-Marina Ioannou, Mersini Paschou and Evangelos Sakkopoulos
Face morphing poses a serious threat to Automatic Border Control (ABC) and Face Recognition Systems (FRS) in general. The aim of this paper is to present a qualitative assessment of the morphing attack issue, and the challenges it entails, highlighting b...
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Natalia Echeverri, Tuuli Jylhä and Philip Koppels
The increasing competitive pressures and dynamic user preferences have resulted in a fast-paced and uncertain business environment. In the face of these circumstances, organizations are looking into alternatives to incorporate flexibility to become more ...
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Ning Gao, Xingyuan Wang and Xiukun Wang
Robust and accurate face alignment remains a challenging task, especially when local noises, illumination variations and partial occlusions exist in images. The existing local search and global match methods often misalign due to local optima without glo...
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