[HTML][HTML] An analytical study of information extraction from unstructured and multidimensional big data
Process of information extraction (IE) is used to extract useful information from unstructured
or semi-structured data. Big data arise new challenges for IE techniques with the rapid …
or semi-structured data. Big data arise new challenges for IE techniques with the rapid …
[HTML][HTML] A comprehensive survey on techniques to handle face identity threats: challenges and opportunities
The human face is considered the prime entity in recognizing a person's identity in our
society. Henceforth, the importance of face recognition systems is growing higher for many …
society. Henceforth, the importance of face recognition systems is growing higher for many …
[HTML][HTML] Deep convolutional neural network-based approaches for face recognition
S Almabdy, L Elrefaei - Applied Sciences, 2019 - mdpi.com
Face recognition (FR) is defined as the process through which people are identified using
facial images. This technology is applied broadly in biometrics, security information …
facial images. This technology is applied broadly in biometrics, security information …
Sensor-based human activity recognition using deep stacked multilayered perceptron model
The recent development of machines exhibiting intelligent characteristics involves numerous
techniques including computer hardware and software architecture development. Many …
techniques including computer hardware and software architecture development. Many …
[PDF][PDF] Developing a recognition system for classifying covid-19 using a convolutional neural network algorithm
FW Alsaade, THH Aldhyani… - Computers, Materials & …, 2021 - cdn.techscience.cn
The COVID-19 pandemic poses an additional serious public health threat due to little or no
pre-existing human immunity, and developing a system to identify COVID-19 in its early …
pre-existing human immunity, and developing a system to identify COVID-19 in its early …
Empowering face recognition methods using a gan-based single image super-resolution network
MB Shahbakhsh, H Hassanpour - International Journal of Engineering, 2022 - ije.ir
Face recognition is one of the most common authentication techniques widely used due to
its easy access. In many face recognition applications, captured images are often of low …
its easy access. In many face recognition applications, captured images are often of low …
Multipose Face Recognition‐Based Combined Adaptive Deep Learning Vector Quantization
Multipose face recognition system is one of the recent challenges faced by the researchers
interested in security applications. Different researches have been introduced discussing the …
interested in security applications. Different researches have been introduced discussing the …
Fairness-aware training of face attribute classifiers via adversarial robustness
Developing fair deep learning models for identity-sensitive applications (eg, face attribute
recognition) has gained increasing attention from the research community. Indeed, it has …
recognition) has gained increasing attention from the research community. Indeed, it has …
Presentation in self-posted facial images can expose sexual orientation: Implications for research and privacy.
D Wang - Journal of Personality and Social Psychology, 2022 - psycnet.apa.org
Recent research has found that facial recognition algorithms can accurately classify people's
sexual orientations using naturalistic facial images, highlighting a severe risk to privacy. This …
sexual orientations using naturalistic facial images, highlighting a severe risk to privacy. This …
Multi-view multi-pose robust face recognition based on VGGNet
K Bhangale, P Ingle, R Kanase, D Desale - … International Conference on …, 2022 - Springer
Face recognition has recently received momentous interest as one of the most triumphant
applications of image analysis and understanding. There are many causes for increasing …
applications of image analysis and understanding. There are many causes for increasing …