Performance Analysis of Softwarized Local Mobile Networks
The ever growing and revolutionizing demands in telecommunication industry to facilitate numerous business verticals are pushing towards more softwarized mobile communication technologies. […]
Revisiting Pixel-Wise Supervision for Face Anti-Spoofing
Face anti-spoofing (FAS) plays a vital role in securing face recognition systems from the presentation attacks (PAs). As more and more realistic […]
Opportunities of Federated Learning in Connected, Cooperative, and Automated Industrial Systems
Next-generation autonomous and networked industrial systems (i.e., robots, vehicles, drones) have driven advances in ultra-reliable low-laten-cy communications (URLLC) and computing. These networked […]
Advanced research trends in dye-sensitized solar cells
Dye-sensitized solar cells (DSSCs) are an efficient photovoltaic technology for powering electronic applications such as wireless sensors with indoor light. Their low […]
Imitation learning-based framework for learning 6-D linear compliant motions
We present a novel method for learning from demonstration 6-D tasks that can be modeled as a sequence of linear motions and […]
An IoT-based framework for remote fall monitoring
Fall detection is a serious healthcare issue that needs to be solved. Falling without quick medical intervention would lower elderly’s chances of […]
Asynchronous Time-Sensitive Networking for 5G Backhauling
Fifth Generation (5G) phase 2 rollouts are around the corner to make mobile ultra-reliable and low-latency services a reality. However, to realize […]
AI-Based Resource Management in Beyond 5G Cloud Native Environment
5G system and beyond targets a large number of emerging applications and services that will create extra overhead on network traffic. These […]
A Software-Defined Queuing Framework for QoS Provisioning in 5G and Beyond Mobile Systems
There is an ever-increasing demand for network technologies supporting Ultra-Reliable Low Latency Communications (URLLC) services and their co-existence with best-effort traffic. By […]
Tripool
Graph Convolutional Network (GCN) has already been successfully applied to skeleton-based action recognition. However, current GCNs in this task are lack of […]