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Artificial intelligence powered Metaverse: analysis, challenges and future perspectives.

, , , and . Artif. Intell. Rev., 57 (2): 36 (February 2024)

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Artificial intelligence powered Metaverse: analysis, challenges and future perspectives., , , and . Artif. Intell. Rev., 57 (2): 36 (February 2024)Deep Learning Advances on Different 3D Data Representations: A Survey., , , , , , , and . CoRR, (2018)A robust framework for object tracking based on corrected background-weighted histogram mean shift and unscented Kalman filter., , and . IPAS, page 1-6. IEEE, (2014)3DBodyTex: Textured 3D Body Dataset., , , , , , and . 3DV, page 495-504. IEEE Computer Society, (2018)Machine Learning for Fog Computing: Perceiving QoE for IoT Applications., , and . AISI, volume 184 of Lecture Notes on Data Engineering and Communications Technologies, page 482-496. Springer, (2023)House price estimation from visual and textual features., and . CoRR, (2016)Modeling of Goal-oriented Human Motion Evolution using Hidden Markov Models., , , , and . ICPRAM, page 605-612. SciTePress, (2019)IoT Application Placement Algorithm Based on Multi-Dimensional QoE Prioritization Model in Fog Computing Environment., , and . IEEE Access, (2020)Fuzzy Gaussian Process Classification Model., , , and . ICIAR, volume 5627 of Lecture Notes in Computer Science, page 369-376. Springer, (2009)Support Vector Machine ensembles using features distribution among subsets for enhancing microarray data classification., , and . ISDA, page 1242-1246. IEEE, (2010)