Affective computing is one of the most important research fields in modern human–computer
interaction (HCI). The goal of affective computing is to study and develop the theories …

The rapid growth of the internet has reached the fourth generation, ie, web 4.0, which
supports Sentiment Analysis (SA) in many applications such as social media, marketing, risk …

Abstract Facial Expression Recognition (FER) has long been a challenging task in the field
of computer vision. In this paper, we present a novel model, named Deep Attentive Multi …

Emotions play an important role in the learning process. Considering the learner's emotions
is essential for electronic learning (e-learning) systems. Some researchers have proposed …

Facial expression recognition (FER) has long been a challenging task in computer vision. In
this paper, we propose a novel method, named deep comprehensive multipatches …

Purpose: This study sought to review the characteristics, strengths, weaknesses variants,
applications areas and data types applied on the various Dimension Reduction techniques …

We present a novel classifier network called STEP, to classify perceived human emotion
from gaits, based on a Spatial Temporal Graph Convolutional Network (ST-GCN) …

This paper presents a novel automatic facial expressions recognition system (AFERS) using
the deep network framework. The proposed AFERS consists of four steps: 1) geometric …

Characterizing surface water quality is important for water resources management and
protection. Numerous studies have addressed the fact that water quality is often impacted by …

Facial Expression Recognition (FER) is a challenging task in computer vision as features
extracted from expressional images are usually entangled with other facial attributes, eg …