The rapid enhancement in the development of information technology has driven the
development of human facial image recognition. Recently, facial recognition has been …

Recently, there has been a notable surge of interest in Emotion Recognition (ER) systems,
primarily due to their potential in improving interactions between humans and computers …

Facial expressions play an essential role in social interactions. Databases of face images
have furnished theories of emotion perception, as well as having applications in other …

Emotion recognition is the technology-driven process of identifying and categorizing human
emotions from various data sources, such as facial expressions, voice patterns, body motion …

By skyrocketing of Internet of Things (IoT) applications in the recent decade, research
improvement on its algorithms for more optimized manner is soared, too. Green house …

By employing artificial intelligence techniques and algorithms such as color and depth
image processing, signal processing, machine learning, evolutionary algorithms and fuzzy …

Volume and mass estimation are two important factors in quality grading for agricultural
products. Using novel automatic volume and estimation systems decreases the human error …

Feature selection can be defined as an optimisation problem and solved by bioinspired
algorithms. The Bees Algorithm (BA) returns great performance in the feature …

Objective: To investigate the accuracy of facial emotion recognition in the Iranian community,
a face database validated in this community is required. To do this, we conducted a …

Deep learning, a relatively recent breakthrough in machine learning, has ignited immense
interest and applications across diverse fields, including but not limited to signal processing …