Particle swarm optimization (PSO) is one of the most well-regarded swarm-based algorithms
in the literature. Although the original PSO has shown good optimization performance, it still …

With the rapid development of Internet-of-Things (IoT) devices and mobile communication
technologies, Multi-access Edge Computing (MEC) has emerged as a promising paradigm …

With the rapid development of the Internet of Things (IoT) and communication technology,
Deep Neural Network (DNN) applications like computer vision, can now be widely used in …

The Internet of Health Things (IoHT), which is an extension of the Internet of Things (IoT) in
healthcare, has provided a new type of telemedicine approach. In IoHT, wearable sensors …

Vehicular edge computing (VEC) is a novel computing paradigm, which is designed to
satisfy the growing computation and communication needs of vehicle systems. With the …

Joint task inference, which fully utilizes end edge cloud cooperation, can effectively enhance
the performance of deep neural network (DNN) inference services in the industrial internet of …

Due to the great advancement in computation, communication, and control technologies, the
Internet of Things (IoT) can provide ubiquitous connectivity for anyone and anything at any …

In Industry 4.0 and Internet of Things (IoT) environments, the heterogeneous edge-cloud
computing paradigm can provide a more proper solution to deploy scientific workflows …

Purpose The research goal is to understand what factors affect users' knowledge and
information learning and sharing on social media platforms. This study focuses on the …

With the rapid development of the Internet, Internet of Things (IoT) technology is widely used
in people's daily lives. As the number of IoT devices increases, the amount of data to be …