Joint Caching and Computing Service Placement for Edge-Enabled IoT based on Deep Reinforcement Learning
By placing edge service functions in proximity to IoT facilities edge computing can satisfy various IoT applications’ resource and latency requirements. Sensing-data-driven […]
Facial Kinship Verification
The goal of Facial Kinship Verification (FKV) is to automatically determine whether two individuals have a kin relationship or not from their […]
CAT-EDNet
The morphologies of various surface defects on strip steel suffer from oil stain water drops steel textures and erratic illumination. It is […]
Proactive Radar Protection System in Shared Spectrum via Forecasting Secondary User Power Levels
Spectrum sharing in radar bands with interference forecasting for enhanced radar protection can help design proactive resource allocation solutions which can achieve […]
Bi-Directional Beamforming Feedback-Based Firmware-Agnostic WiFi Sensing
In the field of WiFi sensing as an alternative sensing source of the channel state information (CSI) matrix the use of a […]
Dynamic Task Allocation and Service Migration in Edge-Cloud IoT System based on Deep Reinforcement Learning
Edge computing extends the ability of cloud computing to the network edge to support diverse resource-sensitive and performance-sensitive IoT applications. However due […]
Joint User Association and Resource Allocation for Wireless Hierarchical Federated Learning With IID and Non-IID Data
In this work hierarchical federated learning (HFL) over wireless multi-cell networks is proposed for large-scale model training while preserving data privacy. However […]
Impact of Wireless Energy Transfer Strategies on the Secrecy Performance of Untrustworthy Relay Networks
This work investigates the secrecy outage performance of a dual-hop relaying network with an untrustworthy energy-constrained amplify-and-forward relay. A destination-based jamming technique […]
Metal-insulator transition in monolayer MoS2 via contactless chemical doping
Much effort has been made to modify the properties of transition metal dichalcogenide layers via their environment as a route to new […]
Confidence Aware Deep Learning Driven Wireless Resource Allocation in Shared Spectrum Bands
Deep learning (DL) driven proactive resource allocation (RA) is a promising approach for the efficient management of network resources. However DL models […]