This paper introduces the Quantum Chimp Optimization Algorithm (QU-ChOA), which
integrates the Chimp Optimization Algorithm (ChOA) with quantum mechanics principles to …

This research introduces a new technique to control constrained nonlinear systems, named
Lyapunov-based neural network model predictive control using a metaheuristic optimization …

In recent years, the use of convolutional neural networks (CNNs) and graph convolutional
networks (GCNs) has significantly advanced hyperspectral image classification (HSIC) …

Introduction Advanced traffic monitoring systems face significant challenges in vehicle
detection and classification. Conventional methods often require substantial computational …

Clustering is a fundamental task in data analysis, aiming to partition a set of samples into
subsets called clusters based on their similarity. Agglomerative Hierarchical Clustering …

The ascent of the metaverse signifies a profound transformation in our digital landscape,
ushering in a complex network of interlinked virtual domains and digital spaces. In this …

Recently, fog computing has been developed to complement cloud computing, which can
provide cloud services at the edge of the network with real-time processing. However, the …

This study aims to investigate the impact of interactivity and perceived humanness on trust
toward AI chatbots in the e-commerce setting. Moreover, this study also aims to examine the …

Online voting is gaining traction in contemporary society to reduce costs and boost voter
turnout, allowing individuals to cast their ballots from anywhere with an internet connection …

As the Metaverse promises to revolutionize human interaction and digital life, the role of
edge computing emerges as a critical enabler. This paper presents a comprehensive survey …