Código Científico Revista de Investigación Vol. 4 – Núm. 2 / Julio – Diciembre – 2023
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Shao, L., Tang, W. E. I., Zhang, Z., & Chen, X. (2023). Medical metaverse: Technologies, applications,
challenges and future. Journal of Mechanics in Medicine and Biology, 23(2).
https://doi.org/10.1142/S0219519423500288
Si, P., Zhao, J., Han, H., Lam, K.-Y., & Liu, Y. (2022). Resource Allocation and Resolution Control in the
Metaverse with Mobile Augmented Reality. GLOBECOM 2022 - 2022 IEEE Global
Communications Conference, 3265–3271.
https://doi.org/10.1109/GLOBECOM48099.2022.10001548
Singh, R., Akram, S. V., Gehlot, A., Buddhi, D., Priyadarshi, N., & Twala, B. (2022). Energy System 4.0:
Digitalization of the Energy Sector with Inclination towards Sustainability. Sensors, 22(17).
https://doi.org/10.3390/S22176619
Song, Y. T., & Qin, J. (2022). Metaverse and Personal Healthcare. Procedia Computer Science, 210(C),
189–197. https://doi.org/10.1016/J.PROCS.2022.10.136
Srinivasan, S., Shippey, S., Aryafar, E., & Chakareski, J. (2023). FBDT: Forward and Backward Data
Transmission Across RATs for High Quality Mobile 360-Degree Video VR Streaming. Proceedings
of the 14th Conference on ACM Multimedia Systems, 130–141.
https://doi.org/10.1145/3587819.3590987
Sun, X., Lu, Y., Sun, J., Tang, B., Rehak, K. D., & Zhang, S. (2022). Matrix Syncer - A Multi-chain Data
Aggregator for Supporting Blockchain-Based Metaverses. Lecture Notes in Computer Science
(Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics),
13497 LNCS, 282–293. https://doi.org/10.1007/978-3-031-22061-6_21
Tao, B., Dai, H. N., Xie, H., & Wang, F. L. (2023). Structural Identity Representation Learning for
Blockchain-Enabled Metaverse Based on Complex Network Analysis. IEEE Transactions on
Computational Social Systems, 1–12. https://doi.org/10.1109/TCSS.2022.3233059
Truong, V. T., Le, L. B., & Niyato, D. (2023). Blockchain Meets Metaverse and Digital Asset
Management: A Comprehensive Survey. IEEE Access, 11, 26258–26288.
https://doi.org/10.1109/ACCESS.2023.3257029
Uddin, M., Manickam, S., Ullah, H., Obaidat, M., & Dandoush, A. (2023). Unveiling the Metaverse:
Exploring Emerging Trends, Multifaceted Perspectives, and Future Challenges. IEEE Access, 1–1.
https://doi.org/10.1109/ACCESS.2023.3281303
Wang, G., Badal, A., Jia, X., Maltz, J. S., Mueller, K., Myers, K. J., Niu, C., Vannier, M., Yan, P., Yu, Z., &
Zeng, R. (2022). Development of metaverse for intelligent healthcare. Nature Machine
Intelligence, 4(11), 922–929. https://doi.org/10.1038/S42256-022-00549-6
Wang, H., Li, H., Smahi, A., Zhao, F., Yao, Y., Chan, C. C., Wang, S., Yang, W., & Li, S.-Y. R. (2023). MIS:
A Multi-Identifier Management and Resolution System in the Metaverse. ACM Transactions on
Multimedia Computing, Communications and Applications. https://doi.org/10.1145/3597641
Wang, Y., Su, Z., Zhang, N., Xing, R., Liu, D., Luan, T. H., & Shen, X. (2023). A Survey on Metaverse:
Fundamentals, Security, and Privacy. IEEE Communications Surveys and Tutorials, 25(1), 319–
352. https://doi.org/10.1109/COMST.2022.3202047
Wang, Y., Tian, Y., Wang, J., Cao, Y., Li, S., & Tian, B. (2022). Integrated Inspection of QoM, QoP, and
QoS for AOI Industries in Metaverses. IEEE/CAA Journal of Automatica Sinica, 9(12), 2071–
2078. https://doi.org/10.1109/JAS.2022.106091