Real-time video objects detection, tracking, and recognition are challenging issues due to
the real-time processing requirements of the machine learning algorithms. In recent years …

Ensemble learning is an effective method to enhance the recognition accuracy of facial
expressions. The performance of ensemble learning can be affected by many factors, such …

We propose a combined center dispersion loss function to reduce the intra-class variations
and inter-class similarities of facial expression datasets and achieve high accuracy in facial …

Humans express their innate emotions and conditions through various channels such as
body language and facial expressions. Facial expressions are the most direct and …

Video classification is an important research field due to its applications ranging from human
action recognition for video surveillance to emotion recognition for human-computer …

Emotion recognition plays a crucial role in the field of artificial intelligence, as it allows
machines to understand and respond appropriately to human emotions. This article provides …

Facial expression recognition is a significant direction in facial computer version. Although
convolutional neural networks (CNNs) have received great attention in recognition task …

Introduction: Refractive Surgery (RS), has advanced immensely in the last decades, utilizing
methods and techniques that fulfill stringent criteria for safety, efficacy, cost-effectiveness …

Deep neural networks tend to be accurate but computationally expensive, whereas
ensembles tend to be fast but do not capitalize on hierarchical representations. This paper …

There has always been a relationship between various human emotions and facial
expressions. Moreover, facial expressions are an important feature that can reflect emotions …