With the wide spread of sensors and smart devices in recent years, the data generation
speed of the Internet of Things (IoT) systems has increased dramatically. In IoT systems …

This paper proposes a binary version of Horse herd Optimization Algorithm (HOA) to tackle
Feature Selection (FS) problems. This algorithm mimics the conduct of a pack of horses …

In this paper, an enhanced binary version of the Rat Swarm Optimizer (RSO) is proposed to
deal with Feature Selection (FS) problems. FS is an important data reduction step in data …

Zero-Touch Networks (ZTNs) represent a state-of-the-art paradigm shift towards fully
automated and intelligent network management, enabling the automation and intelligence …

In the feature selection process, reaching the best subset of features is considered a difficult
task. To deal with the complexity associated with this problem, a sophisticated and robust …

This paper proposes binary versions of artificial rabbits optimization (ARO) for feature
selection (FS) with medical diagnosis data. ARO is a recent swarm-based optimization …

Medical diagnosis research has recently focused on feature selection techniques due to the
availability of multiple variables in medical datasets. Wrapper-based feature selection …

Data classification is a challenging problem. Data classification is very sensitive to the noise
and high dimensionality of the data. Being able to reduce the model complexity can help to …

Obstructive sleep apnea (OSA) is a prevalent sleep disorder that affects approximately 3–
7% of males and 2–5% of females. In the United States alone, 50–70 million adults suffer …

The students' performance prediction (SPP) problem is a challenging problem that
managers face at any institution. Collecting educational quantitative and qualitative data …