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 …

The emergence of COVID-19 has had a global and profound impact, not only on society as a
whole, but also on the lives of individuals. Various prevention measures were introduced …

Feature extraction networks play a crucial role in classification algorithms. However, most
convolutional neural networks use the form of residual block stacking to extract downstream …

The ongoing COVID-19 pandemic has significantly affected global public health,
necessitating protective measures such as wearing face masks to reduce the spread of the …

The development of IT has led to the emergence of digital educational platforms that offer a
variety of training courses. Among such courses are information hygiene courses relevant …

A system for recognizing face masks is a technological solution that employs computer
vision and machine learning methodologies to detect and ascertain the presence or …

This work aims to engineer a robust system capable of real-time detection, accurately
discerning individuals who are either adhering to or neglecting face mask mandates, across …

Masked face counting is the counting of faces at various crowd densities and discriminating
between masked and unmasked faces, which is generally considered to be an object (ie …

This review offers a comprehensive and in-depth analysis of face mask detection and
recognition technologies, emphasizing their critical role in both public health and …

We present a novel dataset for the evaluation of face detection and recognition algorithms in
challenging surveillance scenarios. The dataset consists in 4K images of different subjects …