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Found 7 papers, 1 papers with code
Metaverse for Healthcare: A Survey on Potential Applications, Challenges and Future Directions
The Metaverse is an emerging technology in the digital space which has huge potential in healthcare, enabling realistic experiences to the patients as well as the medical practitioners.
Federated Learning for IoUT: Concepts, Applications, Challenges and Opportunities
Internet of Underwater Things (IoUT) have gained rapid momentum over the past decade with applications spanning from environmental monitoring and exploration, defence applications, etc.
XAI for Cybersecurity: State of the Art, Challenges, Open Issues and Future Directions
The present study provides and extensive review of the use of XAI in cybersecurity.
Genetic CFL: Optimization of Hyper-Parameters in Clustered Federated Learning
Federated learning (FL) is a distributed model for deep learning that integrates client-server architecture, edge computing, and real-time intelligence.
Question-Aware Memory Network for Multi-hop Question Answering in Human-Robot Interaction
We evaluate QA2MN on PathQuestion and WorldCup2014, two representative datasets for complex multi-hop question answering.
Sum-Rate Maximization for UAV-assisted Visible Light Communications using NOMA: Swarm Intelligence meets Machine Learning
As the integration of unmanned aerial vehicles (UAVs) into visible light communications (VLC) can offer many benefits for massive-connectivity applications and services in 5G and beyond, this work considers a UAV-assisted VLC using non-orthogonal multiple-access.
Unmanned Aerial Vehicles in Smart Agriculture: Applications, Requirements and Challenges
However, Smart Bluetooth (also referred to as Bluetooth Low Energy) is a wireless technology used to transfer data over short distances.
