Masked face recognition using deep learning: A review
A large number of intelligent models for masked face recognition (MFR) has been recently
presented and applied in various fields, such as masked face tracking for people safety or …
presented and applied in various fields, such as masked face tracking for people safety or …
Deep learning approach for screening autism spectrum disorder in children with facial images and analysis of ethnoracial factors in model development and …
A Lu, M Perkowski - Brain Sciences, 2021 - mdpi.com
Autism spectrum disorder (ASD) is a developmental disability that can cause significant
social, communication, and behavioral challenges. Early intervention for children with ASD …
social, communication, and behavioral challenges. Early intervention for children with ASD …
Capsule Network‐Based Deep Transfer Learning Model for Face Recognition
Face recognition (FR) is a technique for recognizing individuals through the use of face
photographs. The FR technology is widely applicable in a variety of fields, including security …
photographs. The FR technology is widely applicable in a variety of fields, including security …
[HTML][HTML] Artificial intelligence-based masked face detection: A survey
The COVID-19 virus is causing a global pandemic. The total number of new coronavirus
cases worldwide by the end of November 2020 had already surpassed 60 million. The …
cases worldwide by the end of November 2020 had already surpassed 60 million. The …
[PDF][PDF] Autism spectrum disorder detection: Video games based facial expression diagnosis using deep learning
In this study, a novel method is proposed for determining whether a child between the ages
of 3 and 10 has autism spectrum disorder. Video games have the ability to immerse a child …
of 3 and 10 has autism spectrum disorder. Video games have the ability to immerse a child …
Face recognition under mask-wearing based on residual inception networks
W Moungsouy, T Tawanbunjerd… - Applied Computing …, 2022 - emerald.com
Purpose This paper proposes a solution for recognizing human faces under mask-wearing.
The lower part of human face is occluded and could not be used in the learning process of …
The lower part of human face is occluded and could not be used in the learning process of …
Machine-learning-based password-strength-estimation approach for passwords of Lithuanian context
E Darbutaitė, P Stefanovič, S Ramanauskaitė - Applied Sciences, 2023 - mdpi.com
In an information-security-assurance system, humans are usually the weakest link. It is partly
related to insufficient cybersecurity knowledge and the ignorance of standard security …
related to insufficient cybersecurity knowledge and the ignorance of standard security …
Deep Learning Based Face Recognition Method using Siamese Network
E Solomon, A Woubie, ES Emiru - arxiv preprint arxiv:2312.14001, 2023 - arxiv.org
Achieving state-of-the-art results in face verification systems typically hinges on the
availability of labeled face training data, a resource that often proves challenging to acquire …
availability of labeled face training data, a resource that often proves challenging to acquire …
Automation of surveillance systems using deep learning and facial recognition
A Singh, S Bhatt, V Nayak, M Shah - International Journal of System …, 2023 - Springer
While it's true that humans are skilled at recognizing faces, what about computers?
Machinery is transforming conventional human labor in today's technologically sophisticated …
Machinery is transforming conventional human labor in today's technologically sophisticated …
Diagnosis of autism spectrum disorder: a systematic review of clinical and artificial intelligence methods
S Taneera, R Alhajj - Network Modeling Analysis in Health Informatics and …, 2025 - Springer
Abstract Autism Spectrum Disorder (ASD) is a developmental disorder that affects one's
interpersonal skills, communication, and the desire to engage in repetitive activities. Early …
interpersonal skills, communication, and the desire to engage in repetitive activities. Early …