This paper presents improving the quality of power supply in a distribution network using a genetic-based SVC. The research methodologies used in this...
This paper presents the development of a cardiovascular heart disease classification model using neural network based data mining technique. The aim w...
Zero day malware attacks can be referred to as malicious software that exploits vulnerabilities unknown to vendors or security products which pose a s...
This study presents a finite element-based approach to the mathematical modeling and dynamic analysis of a flexible three-degree-of-freedom (3DoF) rob...
Robotic manipulators have become a cornerstone of modern automation, playing a critical role in industrial production, healthcare systems, space explo...
The increasing frequency and sophistication of cyberattacks have exposed critical weaknesses in conventional information technology (IT) security arch...
Multipath propagation remains a major challenge in wireless communication systems, causing signal degradation, fading, and reduced transmission reliab...
The paper is a design and a realization of a deep learning-driven image classification system with the use of Convolutional Neural Networks (CNNs). Th...
Computed tomography, are often formerly referred to as computerized axial tomography (CAT) scan, which is an X-ray procedure that combines many X-ray ...
Wireless Sensor Networks (WSNs) are crucial for various applications, and ranking sensor nodes within these networks is a fundamental challenge. The S...
This research presents the kinematic modeling of a four mecanum wheel robot for environment mapping and navigation. The study developed the kinematic ...