Cybercrime, cyberbullying, and hate speech have all increased in conjunction with the use
of the internet and social media. The scope of hate speech knows no bounds or …

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 …

Skin diseases are among the most common and widespread diseases affecting people
around the world. Global warming and climate change are the two main factors leading to …

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 …

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 …

This paper presents a comprehensive review of the application of machine learning
algorithms in the early detection of heart disease. Heart disease remains a leading global …

This study uses a variety of machine learning and classification methods to anticipate the
Facial Beauty Standards. The Accuracy of five different models—Random Forest, Logistic …