Artificial neural networks (ANNs) can help camera-based remote photoplethysmography
(rPPG) in measuring cardiac activity and physiological signals from facial videos, such as …

Recently, multi-resolution pyramid-based techniques have emerged as the prevailing
research approach for image super-resolution. However, these methods typically rely on a …

The rise of social media and the easy sharing of images has led to a big increase in fake
photos, making it tough to trust what we see. The proposed study, in a constructive way …

Abstract Since 2019, COVID-19 has profoundly impacted human health around the world.
COVID-19 is extremely contagious, so fast automated diagnosis is necessary. In the field of …

The ability of transformers to capture global context information is highly beneficial for
recognizing subtle differences in facial expressions. However, compared to convolutional …

Fluorescence microscopic images of cells contain a large number of morphological features
that are used as an unbiased source of quantitative information about cell status, through …

This article designs a nanny abnormal behavior recognition bracelet. The bracelet is
equipped with multiple sensors and a powerful control board, forming a complete nanny …