Predicting urban region heat via learning arrive-stay-leave behaviors of private cars
Urban region heat refers to the extent of which people congregate in various regions when
they travel to and stay in a specified place. Predicting urban region heat facilitates broad …
they travel to and stay in a specified place. Predicting urban region heat facilitates broad …
Federated learning for computational offloading and resource management of vehicular edge computing in 6G-V2X network
The Sixth Generation network (6G) can support autonomous driving along with various
vehicular applications like Vehicular Edge Computing (VEC), a distributed computing …
vehicular applications like Vehicular Edge Computing (VEC), a distributed computing …
Improving commute experience for private car users via blockchain-enabled multitask learning
With deepening urbanization and Internet of Vehicles (IoV) applications, the number of
private cars has been increasing in recent years. However, because the surging number of …
private cars has been increasing in recent years. However, because the surging number of …
Combining lyapunov optimization with actor-critic networks for privacy-aware IIoT computation offloading
G Wu, X Chen, Y Shen, Z Xu, H Zhang… - IEEE Internet of …, 2024 - ieeexplore.ieee.org
Opportunistic computation offloading is an effective way to improve the computing
performance of Industrial Internet of Things (IIoT) devices. However, as more and more …
performance of Industrial Internet of Things (IIoT) devices. However, as more and more …
Video data offloading techniques in Mobile Edge Computing: A survey
H Ma, B Ji, H Wu, L Xing - Physical Communication, 2023 - Elsevier
Driven by the Quality of Experience (QoE) demands for video analysis applications within
contexts such as smart cities, Industrial Internet of Things (IoT), and Internet of Vehicles …
contexts such as smart cities, Industrial Internet of Things (IoT), and Internet of Vehicles …
[HTML][HTML] Vehicle detection and classification via YOLOv8 and deep belief network over aerial image sequences
Vehicle detection and classification are the most significant and challenging activities of an
intelligent traffic monitoring system. Traditional methods are highly computationally …
intelligent traffic monitoring system. Traditional methods are highly computationally …
Adaptive swarm intelligent offloading based on digital twin-assisted prediction in VEC
Vehicular Edge Computing (VEC) is the transportation version of Mobile Edge Computing
(MEC). In VEC, task offloading enables vehicles to offload computing tasks to nearby …
(MEC). In VEC, task offloading enables vehicles to offload computing tasks to nearby …
[HTML][HTML] Stochastic modeling for intelligent software-defined vehicular networks: A survey
Digital twins and the Internet of Things (IoT) have gained significant research attention in
recent years due to their potential advantages in various domains, and vehicular ad hoc …
recent years due to their potential advantages in various domains, and vehicular ad hoc …
A computational model for reputation and ensemble-based learning model for prediction of trustworthiness in vehicular ad hoc network
Vehicular ad hoc networks (VANETs) are a special kind of wireless communication network
that facilitates vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) communication …
that facilitates vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) communication …
Computation Rate Maximization for SCMA-Aided Edge Computing in IoT Networks: A Multi-Agent Reinforcement Learning Approach
P Liu, K An, J Lei, Y Sun, W Liu… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Integrating sparse code multiple access (SCMA) and mobile edge computing (MEC) into the
Internet of Things (IoT) networks can enable efficient connectivity and timely computation for …
Internet of Things (IoT) networks can enable efficient connectivity and timely computation for …