Machine learning applications for COVID-19 outbreak management
A Heidari, N Jafari Navimipour, M Unal… - Neural Computing and …, 2022 - Springer
Recently, the COVID-19 epidemic has resulted in millions of deaths and has impacted
practically every area of human life. Several machine learning (ML) approaches are …
practically every area of human life. Several machine learning (ML) approaches are …
Face mask detection in smart cities using deep and transfer learning: Lessons learned from the COVID-19 pandemic
After different consecutive waves, the pandemic phase of Coronavirus disease 2019 does
not look to be ending soon for most countries across the world. To slow the spread of the …
not look to be ending soon for most countries across the world. To slow the spread of the …
Self-restrained triplet loss for accurate masked face recognition
Using the face as a biometric identity trait is motivated by the contactless nature of the
capture process and the high accuracy of the recognition algorithms. After the current COVID …
capture process and the high accuracy of the recognition algorithms. After the current COVID …
Innovative hybrid approach for masked face recognition using pretrained mask detection and segmentation, robust PCA, and KNN classifier
Face masks are widely used in various industries and jobs, such as healthcare, food service,
construction, manufacturing, retail, hospitality, transportation, education, and public safety …
construction, manufacturing, retail, hospitality, transportation, education, and public safety …
Head pose estimation: An extensive survey on recent techniques and applications
Biometric based systems are involved in many areas, from surveillance to user
authentication, from autonomous systems to human-robot interactions. Head pose …
authentication, from autonomous systems to human-robot interactions. Head pose …
NUS: Noisy-sample-removed undersampling scheme for imbalanced classification and application to credit card fraud detection
Since minority samples are substantially less common than majority samples, many
industrial applications, such as credit card fraud detection (CCFD) and defective part …
industrial applications, such as credit card fraud detection (CCFD) and defective part …
Learning upper patch attention using dual-branch training strategy for masked face recognition
Y Zhang, X Wang, MS Shakeel, H Wan, W Kang - Pattern Recognition, 2022 - Elsevier
In the context of pandemic, COVID-19, recognition of masked face images is a challenging
problem, as most of the facial components become invisible. By utilizing prior information …
problem, as most of the facial components become invisible. By utilizing prior information …
Focusface: Multi-task contrastive learning for masked face recognition
SARS-CoV-2 has presented direct and indirect challenges to the scientific community. One
of the most prominent indirect challenges advents from the mandatory use of face masks in a …
of the most prominent indirect challenges advents from the mandatory use of face masks in a …
Beyond masks: On the generalization of masked face recognition models to occluded face recognition
Over the years, the evolution of face recognition (FR) algorithms has been steep and
accelerated by a myriad of factors. Motivated by the unexpected elements found in real …
accelerated by a myriad of factors. Motivated by the unexpected elements found in real …
Wearing face masks impairs dyadic micro-activities in nonverbal social encounter: A mixed-methods first-person study on the sense of I and Thou
J Wagemann, C Tewes, J Raggatz - Frontiers in Psychology, 2022 - frontiersin.org
The COVID-19 pandemic has manifold negative consequences for people around the world,
of which the psychosocial ones have been rather underrepresented in the public eye …
of which the psychosocial ones have been rather underrepresented in the public eye …