Abstract Machine Learning (ML) and Deep Learning (DL) have achieved high success in
many textual, auditory, medical imaging, and visual recognition patterns. Concerning the …

The advancements in Information and Communication Technologies (ICT) made the
concept of Smart Cities into reality. In a smart city several Internet of Things (IoT) sensors are …

Convincing evidence found by educators and psychologists shows that learners' interactions
in discussion forums in massive online open courses (MOOC) overwhelmingly affect their …

The interactive learning is a continuous process, which is full of a large number of learning
interaction activities. The data generated between learners and learning interaction activities …

The process of monitoring mental health has relied on methods, such as invasive sensing
and self-reporting. The use of these methods has been limited because of the invasiveness …

With the continuous and rapid growth of online courses, online learners' engagement
recognition has become a novel research topic in the field of computer vision and pattern …

Facial expression analysis aims to understand human emotions by analyzing visual face
information and is a popular topic in the computer vision community. In educational …

Using deeply separable convolution approaches, this research provides an enhanced
model DSC-HRNet for pose estimation. The novel model attempts to minimize the number of …

Abstract Information about the concordance between dynamic emotional experiences and
objective signals is practically useful. Previous studies have shown that valence dynamics …

Abstract Facial Expression Recognition (FER) has gained considerable attention in affective
computing due to its vast area of applications. Diverse approaches and methods have been …