For the last two decades, oversampling has been employed to overcome the challenge of
learning from imbalanced datasets. Many approaches to solving this challenge have been …

Since most classifiers are biased toward the dominant class, class imbalance is a
challenging problem in machine learning. The most popular approaches to solving this …

Biometric technology has received a lot of attention in recent years. One of the most
prevalent biometric traits is the finger-knuckle print (FKP). Because the dorsal region of the …

With the increasing popularity of smartphones, user identification has become a critical
component to ensure security and privacy. This study looked into how smartphone sensors' …

Research on content-based image retrieval (CBIR) has been under development for
decades, and numerous methods have been competing to extract the most discriminative …

Predicting the compressive strength of cement-stabilized rammed earth (CSRE) using
current testing machines is time-consuming and costly and may harm the environment due …

Soil–cement materials are widely used in civil engineering. Previous studies described
problems related to errors in ultrasonic measurements of the unconfined compressive …

For the last two decades, oversampling has been employed to overcome the challenge of
learning from imbalanced datasets. Many approaches to solving this challenge have been …

Facial image retrieval is a challenging task since faces have many similar features (areas),
which makes it difficult for the retrieval systems to distinguish faces of different people. With …

This study investigates the classification of Arabic coffee into three major variations (light,
medium, and dark) using simulated data gathered from the actual measurements of color …