Task-specific deep learning models in histopathology offer promising opportunities for
improving diagnosis, clinical research, and precision medicine. However, development of …

Digital twins are now a staple of wireless networks design and evolution. Creating an
accurate digital copy of a real system offers numerous opportunities to study and analyze its …

Timely and energy-efficient task offloading and computing can be challenging in mobile
edge computing (MEC) networks when the communication links between devices and edge …

Digital twin (DT) is revolutionizing the emerging video streaming services through tailored
network management. By integrating diverse advanced communication technologies, DTs …

This paper introduces an on-demand collaborative sensing scheme for Industrial Internet of
Things (IIoT) sensors in time-varying sensing environments, aiming to optimize the sensing …

Multicast short video streaming can enhance bandwidth utilization by enabling simultaneous
video transmission to multiple users over shared wireless channels. The existing network …

As telecommunications networks become increasingly complex, the integration of advanced
technologies such as network digital twins and generative artificial intelligence (AI) emerges …

Vehicular fog computing has emerged as a promising paradigm that provisions computing at
the network edge and alleviates the computation workload of static edge computing servers …

Mobile users can access vital real-time services through wireless paradigms like software-
defined network (SDN) topologies and the Internet of Things. Point-of-contact-based …

In order to solve the complex task scheduling problem of fog computing processing big data
in the industrial Internet of Things, a task scheduling strategy based on ant colony algorithm …