Differential evolution (DE) and flower pollination algorithm (FPA) are efficient and novel
meta-heuristic algorithms, which are effective tools for solving global optimization problems …

Accurate traffic prediction is a challenging task in intelligent transportation systems because
of the complex spatio-temporal dependencies in transportation networks. Many existing …

Abstract Industrial Internet of Things (IIoT) acts as essential part of the revolutionary
transition of conventional industries towards Industry 4.0. By the integration of instruments …

Most of the recent research has focused on the Internet of Things (IoT) and its applications.
The open interface and network connectivity of the interconnected systems under the IoT …

Depression is a common cause of increased suicides worldwide, and studies have shown
that the number of patients suffering from major depressive disorder (MDD) increased …

The COVID-19 pandemic has resulted in a significant increase in the number of pneumonia
cases, including those caused by the Coronavirus. To detect COVID pneumonia, RT-PCR is …

The proliferation of smart devices in the 5G era of industrial IoT (IIoT) produces significant
traffic data, some of which is encrypted malicious traffic, creating a significant problem for …

The existing botnet detection methods have the problems of uneven sampling, poor feature
selection, and weak generalization ability, resulting in low detection and classification …

Due to the exponential increase of internet applications and network users, network traffic
classification (NTC) is a crucial study subject. It successfully improves network service …

This paper introduces an approach for optimal feature selection (FS) in multi-label (ML) data,
where each sample can be associated with multiple class labels. The complexity of the …