Deep data-driven methodologies have significantly enhanced the automatic facial beauty
prediction (FBP), particularly convolutional neural networks (CNNs). However, despite its …

Clustering algorithms play a pivotal role in the field of engineering, offering valuable insights
into complex datasets. This review paper explores the landscape of developed clustering …

Numerous domains, including safety, health, and human-machine interfaces, have garnered
significant attention from researchers. Within this field, there is a notable interest in …

This review delves into Facial Beauty Prediction (FBP) using deep learning, specifically
focusing on convolutional neural networks (CNNs). It synthesizes recent advancements in …

This study employs robust machine learning techniques to comprehensively assess the
classification of Iris flower species. This study investigates the effectiveness of several …

Human gait recognition as a branch of biometric identification, has witnessed remarkable
progress in recent years, thanks to the integration of deep learning techniques. This paper …

In today's society, beauty is more than just aesthetics, it has a profound impact on many
aspects of life, including social interactions, self-confidence, and job opportunities. To …

Gesture-based systems have emerged as a prominent breakthrough in the field of smart
access control, effectively integrating security measures with user comfort. This study …

Computers can now detect, understand, and evaluate emotions thanks to recent
developments in machine learning and information fusion. Researchers across various …

Facial beauty analysis is a crucial subject in human culture among researchers across
various applications. Recent studies have utilized multidisciplinary approaches to examine …