Emotion recognition is the ability to precisely infer human emotions from numerous sources
and modalities using questionnaires, physical signals, and physiological signals. Recently …

Facial expression recognition (FER) is an emerging and multifaceted research topic.
Applications of FER in healthcare, security, safe driving, and so forth have contributed to the …

In recent years, Transformers have become the de-facto architecture for sequence modeling
on text and multi-dimensional data, such as images and video. However, the use of self …

This paper presents a novel facial expression recognition network, called Distract your
Attention Network (DAN). Our method is based on two key observations in biological visual …

Facial Expression Recognition (FER) in the wild is extremely challenging due to occlusions,
variant head poses, face deformation and motion blur under unconstrained conditions …

With an aging population and increased chronic diseases, remote health monitoring has
become critical to improving patient care and reducing healthcare costs. The Internet of …

The motion of a ship, which has six degrees of freedom, is a complex nonlinear dynamic
process with variable periodicity and chaotic characteristics. With the development of smart …

The traditional method for obtaining aerodynamic parameters of airfoils by solving Navier–
Stokes equations is a time-consuming computing task. In this article, a novel data-driven …

Mental health problems are an increasingly common social issue severely affecting health
and well-being. Multimedia processing technologies via facial expression show appealing …

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 …