Design of Cloud-Based Complex VR 3D Scene Interaction Based on Attribute Preferences

This paper presents a novel approach to enhancing real-time 3D design collaboration in cloud-rendered virtual reality (VR) environments through adaptive interface personalization and efficient resource management. The study leverages Reinforcement Learning (RL) and Particle Swarm Optimization (PSO)...

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Autori principali:	Ze Yu Yang, Yeom Jun Young
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	IEEE 2025-01-01
Serie:	IEEE Access
Soggetti:	Reinforcement learning (RL) particle swarm optimization (PSO) cloud-rendered virtual reality (VR) adaptive interface personalization real-time 3D design collaboration resource optimization
Accesso online:	https://ieeexplore.ieee.org/document/10930469/
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