Deep Learning (DL) has been effectively utilized in various complicated challenges in
healthcare, industry, and academia for various purposes, including thyroid diagnosis, lung …

Slime Mould Algorithm (SMA) has recently received much attention from researchers
because of its simple structure, excellent optimisation capabilities, and acceptable …

The Internet of Drones (IoD) is built on the Internet of Things (IoT) by replacing “Things” with
“Drones” while retaining incomparable features. Because of its vital applications, IoD …

Computerized tomography (CT) is of great significance for the localization and diagnosis of
liver cancer. Many scholars have recently applied deep learning methods to segment CT …

This paper presents an evolved chimp optimization algorithm (ChOA) that uses greedy
search (GS) and opposition-based learning (OBL) to respectively increase the ChOA's …

The Internet of Things (IoT) is a complicated security feature in which datagrams are
protected by integrity, confidentiality, and authentication services. The network is protected …

The complexity and high dimensions of big data sonar, as well as the unavoidable presence
of unwanted signals such as noise, clutter, and reverberation in the environment of sonar …

Recent progress in Deep Learning (DL) has sparked interest in using DL to detect software
vulnerabilities automatically and it has been demonstrated promising results at detecting …

Class imbalance is a common issue while develo** classification models. In order to
tackle this problem, synthetic data have recently been developed to enhance the minority …

To eliminate security attack risks of software products, the security bug report (SBR)
prediction has been increasingly investigated. However, there is still much room for …