62 citations · 130 across the 8 of their papers we have counts for
8 papers
On the Prediction of Wi-Fi Performance through Deep Learning
Gabriele Formis, Amanda Ericson, Stefan Forsstrom +3
Ensuring reliable and predictable communications is one of the main goals in modern industrial systems that rely on Wi-Fi networks, especially in scenarios where continuity of oper…
Towards Ultra-Reliable 6G in-X Subnetworks: Dynamic Link Adaptation by Deep Reinforcement Learning
Fateme Salehi, Aamir Mahmood, Sarder Fakhrul Abedin +2
6G networks are composed of subnetworks expected to meet ultra-reliable low-latency communication (URLLC) requirements for mission-critical applications such as industrial control…
Improving Wi-Fi Network Performance Prediction with Deep Learning Models
Gabriele Formis, Amanda Ericson, Stefan Forsstrom +3
The increasing need for robustness, reliability, and determinism in wireless networks for industrial and mission-critical applications is the driver for the growth of new innovativ…
Attention on Personalized Clinical Decision Support System: Federated Learning Approach
Chu Myaet Thwal, Kyi Thar, Ye Lin Tun +1
Health management has become a primary problem as new kinds of diseases and complex symptoms are introduced to a rapidly growing modern society. Building a better and smarter healt…
Federated Learning based Energy Demand Prediction with Clustered Aggregation
Ye Lin Tun, Kyi Thar, Chu Myaet Thwal +1
To reduce negative environmental impacts, power stations and energy grids need to optimize the resources required for power production. Thus, predicting the energy consumption of c…
Risk Adversarial Learning System for Connected and Autonomous Vehicle Charging
Md. Shirajum Munir, Ki Tae Kim, Kyi Thar +2
In this paper, the design of a rational decision support system (RDSS) for a connected and autonomous vehicle charging infrastructure (CAV-CI) is studied. In the considered CAV-CI,…
Edge-assisted Democratized Learning Towards Federated Analytics
Shashi Raj Pandey, Minh N. H. Nguyen, Tri Nguyen Dang +4
A recent take towards Federated Analytics (FA), which allows analytical insights of distributed datasets, reuses the Federated Learning (FL) infrastructure to evaluate the summary…
Distributed and Democratized Learning: Philosophy and Research Challenges
Minh N. H. Nguyen, Shashi Raj Pandey, Kyi Thar +4
Due to the availability of huge amounts of data and processing abilities, current artificial intelligence (AI) systems are effective in solving complex tasks. However, despite the…