With the increased coverage of CCTV cameras across major metropolitan cities, there has
been an increased need to continuously monitor these video feeds for them to be effective …

Human actions are predominantly presented in 2D format in video surveillance scenarios,
which hinders the accurate determination of action details not apparent in 2D data. Depth …

An active learning-type class is a class in which students take the initiative. In order to
improve active learning-type classes, attempts have been made to review the content after …

Video action recognition using 3D Convolutional Neural Networks (CNN) become an
increasingly popular strategy in past years with the evolution of machine learning and …

In recent years, many developed upgrades of angle-resolved photoemission spectroscopy
(ARPES) have significantly increased the amount of the obtained data. In this article, we …

The widespread application and development of technology have significantly improved
people's lives. In recent years, deep learning has emerged as a powerful branch of artificial …

Automatic identification and classification of human actions is one the important and
challenging tasks in the field of computer vision that has appealed many researchers since …

Abstract Human Activity Recognition (HAR) is a challenging classification task. In the past, it
traditionally involved the identification of the movement and activities of a person based on …

Human Activity Recognition (HAR) is a challenging classification task. In the past, it
traditionally involved the identification of the movement and activities of a person based on …