The human face is considered the prime entity in recognizing a person's identity in our
society. Henceforth, the importance of face recognition systems is growing higher for many …

Object detection using deep learning has attracted considerable interest from researchers
because of its competency in performing state-of-the-art tasks, including detection …

This paper presents an efficiently robust facial expression recognition (FER) network, named
EfficientFace, which holds much fewer parameters but more robust to the FER in the wild …

COVID‐19 presents an urgent global challenge because of its contagious nature, frequently
changing characteristics, and the lack of a vaccine or effective medicines. A model for …

As an unsupervised representation problem in deep learning, next-frame prediction is a
new, promising direction of research in computer vision, predicting possible future images …

Although there are methods of artificial intelligence (AI) applied to virtual reality (VR)
solutions, there are few studies in the literature. Thus, to fill this gap, we performed a …

In this paper, we present a systematic review of the applications of (1) Extended Reality
(XR),(2) Augmented Reality (AR), and (3) Virtual Reality (VR) technologies to enhance …

Human facial expressions are an indication of true emotions. To recognize facial
expressions accurately is useful in the field of Artificial Intelligence, Computing, Medical, e …

Emotion recognition has become increasingly utilized in the medical, advertising, and
military domains. Recognizing the cues of emotion from human behaviors or physiological …

This study aims to design a real-time application to detect several human beings' universal
emotional levels simultaneously. The intra-class and inter-class variations present in images …