Soft biometrics: A survey: Benchmark analysis, open challenges and recommendations
B Hassan, E Izquierdo, T Piatrik - Multimedia Tools and Applications, 2021 - Springer
The field of biometrics research encompasses the need to associate an identity to an
individual based on the persons physiological or behaviour traits. While the use of intrusive …
individual based on the persons physiological or behaviour traits. While the use of intrusive …
A review of face recognition methods using deep learning network
Face recognition could be a technology capable of distinguishing or confirming an individual
from a digital image or a video frame from a video supply. Face recognition technology is …
from a digital image or a video frame from a video supply. Face recognition technology is …
Face detection in security monitoring based on artificial intelligence video retrieval technology
Z Dong, J Wei, X Chen, P Zheng - Ieee Access, 2020 - ieeexplore.ieee.org
With the rapid development of video monitoring, the massive information of the monitoring
image has far exceeded the effective processing range of human resources. Intelligent video …
image has far exceeded the effective processing range of human resources. Intelligent video …
Face gender recognition in the wild: an extensive performance comparison of deep-learned, hand-crafted, and fused features with deep and traditional models
A Althnian, N Aloboud, N Alkharashi, F Alduwaish… - Applied Sciences, 2020 - mdpi.com
Face gender recognition has many useful applications in human–robot interactions as it can
improve the overall user experience. Support vector machines (SVM) and convolutional …
improve the overall user experience. Support vector machines (SVM) and convolutional …
Identifying social media user demographics and topic diversity with computational social science: a case study of a major international policy forum
When the world's countries agreed on the 2030 Agenda for Sustainable Development, they
recognized that equity and inclusion should be at the center of implementing the 17 …
recognized that equity and inclusion should be at the center of implementing the 17 …
DeepVeil: deep learning for identification of face, gender, expression recognition under veiled conditions
ABA Hassanat, AA Albustanji… - International …, 2022 - inderscienceonline.com
Biometric recognition based on the full face is an extensive research area. However, using
only partially visible faces, such as in the case of veiled-persons, is a challenging task. Deep …
only partially visible faces, such as in the case of veiled-persons, is a challenging task. Deep …
Magnetism-Inspired Quantum-Mechanical Model of Gender Fluidity
IS Maksymov - arXiv preprint arXiv:2401.15264, 2024 - arxiv.org
Quantum-mechanical models of human cognition, opinion formation and decision-making
have changed the way we understand and predict human behaviour in many practical …
have changed the way we understand and predict human behaviour in many practical …
Deep-segmentation of plantar pressure images incorporating fully convolutional neural networks
Comfort shoe-last design relies on the key points of last curvature. Traditional plantar
pressure image segmentation methods are limited to their local and global minimization …
pressure image segmentation methods are limited to their local and global minimization …
Deep Multi-task Convolutional Neural Networks for Efficient Classification of Face Attributes
Facial feature recognition is an important subject in computer vision with numerous
applications. The human face plays a significant role in social interaction and personology …
applications. The human face plays a significant role in social interaction and personology …
[PDF][PDF] Convolutional neural network architecture for plant seedling classification
HA Elnemr - … Journal of Advanced Computer Science and …, 2019 - pdfs.semanticscholar.org
Weed control is a challenging problem that may face crops productivity. Weeds are
perceived as an important problem because they conduce to reduce crop yields due to the …
perceived as an important problem because they conduce to reduce crop yields due to the …