[HTML][HTML] Towards defining industry 5.0 vision with intelligent and softwarized wireless network architectures and services: A survey
Abstract Industry 5.0 vision, a step toward the next industrial revolution and enhancement to
Industry 4.0, conceives the new goals of resilient, sustainable, and human-centric …
Industry 4.0, conceives the new goals of resilient, sustainable, and human-centric …
Industry 5.0 is coming: A survey on intelligent nextG wireless networks as technological enablers
Industry 5.0 vision, a step toward the next industrial revolution and enhancement to Industry
4.0, envisioned the new goals of resilient, sustainable, and human-centric approaches in …
4.0, envisioned the new goals of resilient, sustainable, and human-centric approaches in …
Effectively detecting operational anomalies in large-scale IoT data infrastructures by using a GAN-based predictive model
Quality of data services is crucial for operational large-scale internet-of-things (IoT) research
data infrastructure, in particular when serving large amounts of distributed users. Effectively …
data infrastructure, in particular when serving large amounts of distributed users. Effectively …
Geographical POI recommendation for Internet of Things: A federated learning approach using matrix factorization
J Huang, Z Tong, Z Feng - International Journal of …, 2022 - Wiley Online Library
With the popularity of Internet of Things (IoT), Point‐of‐Interest (POI) recommendation has
become an important application for location‐based services (LBS). Meanwhile, there is an …
become an important application for location‐based services (LBS). Meanwhile, there is an …
[HTML][HTML] Enhancing the robustness of object detection via 6G vehicular edge computing
Academic and industrial communities have been paying significant attention to the 6th
Generation (6G) wireless communication systems after the commercial deployment of 5G …
Generation (6G) wireless communication systems after the commercial deployment of 5G …
[HTML][HTML] Towards machine-learning-driven effective mashup recommendations from big data in mobile networks and the Internet-of-Things
A large number of Web APIs have been released as services in mobile communications, but
the service provided by a single Web API is usually limited. To enrich the services in mobile …
the service provided by a single Web API is usually limited. To enrich the services in mobile …
Research on Named Entity Recognition of Electronic Medical Records Based on RoBERTa and Radical‐Level Feature
Y Wu, J Huang, C Xu, H Zheng… - … and Mobile Computing, 2021 - Wiley Online Library
Clinical named entity recognition (CNER) identifies entities from unstructured medical
records and classifies them into predefined categories. It is of great significance for follow …
records and classifies them into predefined categories. It is of great significance for follow …
Adaptive clustered federated learning for heterogeneous data in edge computing
B Gong, T Xing, Z Liu, J Wang, X Liu - Mobile Networks and Applications, 2022 - Springer
Although federated learning has been widely used in collaborative training of machine
learning models, its practical uses are still challenged by heterogeneous data across clients …
learning models, its practical uses are still challenged by heterogeneous data across clients …
STHGCN: A spatiotemporal prediction framework based on higher-order graph convolution networks
Spatiotemporal prediction based on deep learning is one an important content in
spatiotemporal knowledge mining with the development of various sensor technologies …
spatiotemporal knowledge mining with the development of various sensor technologies …
Deep reinforcement learning for load balancing of edge servers in iov
In recent years, the use of edge computing to solve the problem of limited resources in the
IoV has attracted more and more attention. Vehicles can upload tasks to the edge servers …
IoV has attracted more and more attention. Vehicles can upload tasks to the edge servers …