Face recognition technology is a biometric technology, which is based on the identification
of facial features of a person. People collect the face images, and the recognition equipment …

Machine-learning-based text classification is one of the leading research areas and has a
wide range of applications, which include spam detection, hate speech identification …

In this study, we address the challenging task of biomedical text document classification of
Cancer Doc Classification, specifically focusing on lengthy research papers related to …

With the current massive amount of traffic that is going through the internet, internet service
providers (ISPs) and networking service providers (NSPs) are looking for various ways to …

Floods, natural disasters that occur worldwide, have become more and more frequent in
recent decades. Flooding is often unavoidable and unexpected; however, it can be …

Classification datasets often have an unequal class distribution among their examples. This
problem is known as imbalanced classification. The Synthetic Minority Over-sampling …

In the era of the Social Web, crowdfunding has become an increasingly more important
channel for entrepreneurs to raise funds from the crowd to support their startup projects …

Accurate breast cancer detection using automated algorithms remains a problem within the
literature. Although a plethora of work has tried to address this issue, an exact solution is yet …

In large technology companies, the requirements for managing and organizing technical
documents created by engineers and managers have increased dramatically in recent …

This paper deals with the application of support vector machine (SVM) to deal with the class
imbalance problem. The objective of this paper is to examine the feasibility and efficiency of …