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 …

A review of face recognition methods using deep learning network

AK Dubey, V Jain - Journal of Information and optimization …, 2019 - Taylor & Francis
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 …

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 …

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 …

Identifying social media user demographics and topic diversity with computational social science: a case study of a major international policy forum

J Brandt, K Buckingham, C Buntain… - … of Computational Social …, 2020 - Springer
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 …

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 …

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 …

Deep-segmentation of plantar pressure images incorporating fully convolutional neural networks

D Wang, Z Li, N Dey, AS Ashour, L Moraru… - Biocybernetics and …, 2020 - Elsevier
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 …

[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 …

Deep Multi-task Convolutional Neural Networks for Efficient Classification of Face Attributes

M Rohani, H Farsi, S Mohamadzadeh - International Journal of Engineering, 2023 - ije.ir
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 …