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Found 5 papers, 2 papers with code
Graph Neural Networks as an Enabler of Terahertz-based Flow-guided Nanoscale Localization over Highly Erroneous Raw Data
Our first contribution lies in an analytical model of raw data for flow-guided localization, dissecting how communication and energy capabilities influence the nanodevices' data output.
Insights from the Design Space Exploration of Flow-Guided Nanoscale Localization
Nanodevices with Terahertz (THz)-based wireless communication capabilities are providing a primer for flow-guided localization within the human bloodstreams.
Predictive Context-Awareness for Full-Immersive Multiuser Virtual Reality with Redirected Walking
By predicting users' short-term lateral movements in multiuser VR setups with Redirected Walking (RDW), transmitter-side beamforming and beamsteering can be optimized through Line-of-Sight (LoS) "tracking" in the users' directions.
Short-Term Trajectory Prediction for Full-Immersive Multiuser Virtual Reality with Redirected Walking
Full-immersive multiuser Virtual Reality (VR) envisions supporting unconstrained mobility of the users in the virtual worlds, while at the same time constraining their physical movements inside VR setups through redirected walking.
HTMRL: Biologically Plausible Reinforcement Learning with Hierarchical Temporal Memory
Building Reinforcement Learning (RL) algorithms which are able to adapt to continuously evolving tasks is an open research challenge.
