Facial emotional processing is one of the most important activities in effective calculations,
engagement with people and computers, machine vision, video game testing, and consumer …

Emotion recognition has opened up many challenges, which lead to various advances in
computer vision and artificial intelligence. The rapid development in this field has …

Current works of facial expression learning in video consume significant computational
resources to learn spatial channel feature representations and temporal relationships. To …

The growing use of the Internet of Things (IoT) has increased the volume of data to be
processed by manifolds. Edge computing can lessen the load of transmitting a massive …

Nowadays, special attention is paid to the importance of using photovoltaic (PV) systems to
tackle the problem of climate change and the energy crisis. Artificial intelligence is currently …

In recent years, the electronic devices and wireless network are seen everywhere,
generating a massive amount of online surveillance video data that can be applied to …

Personality analysis is widely used in occupational aptitude tests and entrance
psychological tests. However, answering hundreds of questions at once seems to be a …

Facial Action Unit (AU) detection is of major importance in a broad range of artificial
intelligence applications such as healthcare, Facial Expression Recognition (FER), and …

Effectively transporting drilled cuttings to the surface is a vital part of the well construction
process. Usually, mechanistic models are used to estimate the cuttings concentration during …

In emotion studies, critiques of the use of a static facial expression have been directed to its
resulting from poor ecological validity. We conducted a study of studies in the present work …