Predicting User Risk Behavior in the Metaverse Using Hybrid Bidirectional LSTM–GRU Temporal Deep Learning
This research contributes to the integration of artificial intelligence in metaverse governance by offering a data-driven approach to behavioral forecasting that can enhance user safety, improve decision-making, and support the development of intelligent, adaptive risk management systems in virtual environments.