In a recent study published in the journal Informatics, researchers investigated the use of advanced machine learning methods to recognize facial expressions as indicators of health deterioration in ...

A composite micro-expression recognition model is proposed in this paper based on the CBAM module, the improved ViT module, and ShuffleNetV2. The first step in preprocessing is to extract the TV-L1 ...

A new model now gives researchers a tool that extends past observing static networks at a single snapshot in time, which is hugely beneficial since network data are usually dynamic. Researchers at ...

People with autism spectrum disorder have difficulty interpreting facial expressions. Using a neural network model that reproduces the brain on a computer, a group of researchers based at Tohoku ...

Single-cell RNA sequencing (scRNA-seq) has facilitated the investigation of important biological questions that were previously difficult or impossible to study, such as the nature of heterogeneity ...

Many antineoplastics are designed to target upregulated genes, but quantifying upregulation in a single patient sample requires an appropriate set of samples for comparison. In cancer, the most ...

People with autism spectrum disorder interpret facial expressions differently. Researchers have revealed more about how this comes to be. They induced abnormalities into a neural network model to ...