The Metaverse Review: Exploring the Boundless Ream of Digital Reality

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2. Metaverse for social good: A university campus prototype

3. Facebook and the creation of the metaverse: Radical business model innovation or incremental transformation?10.1108/IJEBR-12-2021-0984 ↗

4. Investigating role of deep learning in metaverse

5. Computer vision in the metaverse

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7. Blockchain integration in the era of industrial metaverse10.3390/app13031353 ↗

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11. Towards the evaluation of augmented reality in the metaverse: Information presentation modes10.3390/app122412600 ↗

12. Entrepreneurship in the world of metaverse: Virtual or real?10.57019/jmv.1126135 ↗

13. Exploring research trends of emerging technologies in health metaverse: A bibliometric analysis

14. Metaverse office: Exploring future teleworking model10.1108/K-10-2022-1432 ↗

15. Vegas, disney, and the metaverse10.14361/9783839462003-002 ↗

16. Constructing an edu-metaverse ecosystem: A new and innovative framework10.1109/TLT.2022.3210828 ↗

17. What is metaverse?—A definition based on qualitative meta-synthesis10.3390/fi14110310 ↗

18. What the metaverse is (really) and why we need to know about it10.1089/cyber.2022.0124 ↗

19. Digital twin: Generalization, characterization and implementation10.1016/j.dss.2021.113524 ↗

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21. Metaverse key requirements and platforms survey10.1109/ACCESS.2023.3325844 ↗

22. A survey on the metaverse: The state-of-the-art, technologies, applications, and challenges10.1109/JIOT.2023.3278329 ↗

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24. Engineering integrated multimodal sensing and feedback ring system for advanced interactive metaverse platform10.1016/j.scib.2023.01.009 ↗

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26. Embodied hands: Modeling and capturing hands and bodies together10.1145/3130800.3130883 ↗

27. Scanimate: Weakly supervised learning of skinned clothed avatar networks

28. Expressive body capture: 3D hands, face, and body from a single image

29. What do avatars want now? Posthuman embodiment and the technological sublime

30. Simulation of photogrammetry-based 3D data acquisition10.2507/IJSIMM18(1)460 ↗

31. T. Gesslein, D. Scherer, and J. Grubert, “BodyDigitizer: An open source photogrammetry-based 3D body scanner,” 2017. doi: 10.48550/arXiv.1710.01370.

32. Rubber hands ‘feel’ touch that eyes see10.1038/35784 ↗

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34. Comparing technologies for conveying emotions through realistic avatars in virtual reality-based metaverse experiences10.1002/cav.2188 ↗

35. Batnasan · IEEE Glob. Eng. Educ. Conf., EDUCON 2022 · 2022 · 181410.1109/EDUCON52537.2022.9766497 ↗

36. Machine learning based digital twin framework for production optimization in petrochemical industry10.1016/j.ijinfomgt.2019.05.020 ↗

37. Scanning 3D full human bodies using kinects10.1109/TVCG.2012.56 ↗

38. Avatarm: An avatar with manipulation capabilities for the physical metaverse

39. Avatar-based metaverse interactions: A taxonomy, scenarios and enabling technologies10.33851/JMIS.2022.9.4.293 ↗

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42. J. Yang, Y. Zhou, H. Huang, H. Zou, and L. Xie, “MetaFi: Device-free pose estimation via commodity wifi for metaverse avatar simulation,” 2022. doi: 10.48550/arXiv.2208.10414.10.1109/WF-IoT54382.2022.10152057 ↗

43. A secure authentication framework to guarantee the traceability of avatars in metaverse10.1109/TIFS.2023.3288689 ↗

44. Digital twin: Enabling technologies, challenges and open research10.1109/ACCESS.2020.2998358 ↗

45. An application framework of digital twin and its case study10.1007/s12652-018-0911-3 ↗

46. Review of digital twin applications in manufacturing10.1016/j.compind.2019.103130 ↗

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48. A survey on extended reality, digital twins, and metaverse applications in power systems10.1109/JIOT.2024.3450813 ↗

49. The digital twin paradigm for future nasa and us air force vehicles

50. A dynamic hierarchical framework for iot-assisted digital twin synchronization in the metaverse10.1109/JIOT.2022.3201082 ↗

51. Swarm metaverse for multi-level autonomy using digital twins

52. Mobile edge adversarial detection for digital twinning to the metaverse: A deep reinforcement learning approach

53. Semantic-aware digital twin for metaverse: A comprehensive review10.1109/MWC.003.2200616 ↗

54. Building digital twins of cyber physical systems with metaverse for Industry 5.0 and beyond10.1109/MITP.2022.3225064 ↗

55. Metaverses and demetaverses: From digital twins in CPS to parallel intelligence in CPSS10.1109/MIS.2022.3196592 ↗

56. BlockNet: Beyond reliable spatial digital twins to parallel metaverse10.1016/j.patter.2022.100468 ↗

57. The metaverse evolution: Toward future digital twin campuses

58. A survey on metaverse: Fundamentals, security, and privacy10.1109/COMST.2022.3202047 ↗

59. Collaborative cloud-edge-end task offloading in mobileedge computing networks with limited communication capability10.1109/TCCN.2020.3018159 ↗

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61. Situated learning in virtual worlds and immersive simulations10.1007/978-1-4614-3185-5_58 ↗

62. Framework for the use of extended reality modalities in AEC education10.3390/buildings12122169 ↗

63. A fuzzy MCDM approach to support customer-centric innovation in virtual reality (VR) metaverse headset design10.1016/j.aei.2023.101910 ↗

64. Trends in workplace wearable technologies and connected-worker solutions for next-generation occupational safety, health, and productivity10.1002/aisy.202100099 ↗

65. Vision, application scenarios, and key technology trends for 6G mobile communications10.1007/s11432-021-3351-5 ↗

66. Sensor and sensor fusion technology in autonomous vehicles: A review10.3390/s21062140 ↗

67. A self-sensing soft pneumatic actuator with closed-loop control for haptic feedback wearable devices10.1016/j.matdes.2022.111149 ↗

68. Connected without disconnection: Overview of light field metaverse applications and their quality of experience10.1016/j.displa.2023.102430 ↗

69. A survey on deep learning and its applications10.1016/j.cosrev.2021.100379 ↗

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72. A survey on semi-supervised feature selection methods10.1016/j.patcog.2016.11.003 ↗

73. A survey on semi-supervised learning10.1007/s10994-019-05855-6 ↗

74. Deep reinforcement learning for internet of things: A comprehensive survey10.1109/COMST.2021.3073036 ↗

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76. Recent trends in deep learning based natural language processing10.1109/MCI.2018.2840738 ↗

77. Frustratingly short attention spans in neural language modeling

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80. How transferable are features in convolutional neural network acoustic models across languages?

81. Artificial intelligence for the metaverse: A survey10.1016/j.engappai.2022.105581 ↗

82. Fashion intelligence in the metaverse: Promise and future prospects10.1007/s10462-024-10703-8 ↗

83. Mobile edge computing, metaverse, 6G wireless communications, artificial intelligence, and blockchain: Survey and their convergence

84. N. C. Luong et al., “Edge computing for semantic communication enabled metaverse: An incentive mechanism design,” 2022. doi: 10.48550/ARXIV.2212.06463.

85. C. Liu, Y. Wang, and J. Zhao, “Mobile edge computing for the metaverse,” 2022. doi: 10.48550/arXiv.2212.09229.

86. T. J. Chua, W. Yu, and J. Zhao, “Unified, user and task (UUT) centered artificial intelligence for metaverse edge computing,” 2022. doi: 10.48550/arXiv.2212.09295.

87. V. Ahsani, A. Rahimi, M. Letafati, and B. H. Khalaj, “Unlocking metaverse-as-a-service the three pillars to watch: Privacy and security, edge computing, and blockchain,” 2023. doi: 10.48550/arXiv.2301.01221.

88. A survey of mobile edge computing for the metaverse: Architectures, applications, and challenges

89. The role of network slicing and edge computing in the metaverse realization10.1109/ACCESS.2023.3255510 ↗

90. A super-efficient GSM triplexer for 5G-enabled iot in sustainable smart grid edge computing and the metaverse10.3390/s23073775 ↗

91. Bi-directional digital twin and edge computing in the metaverse10.1109/IOTM.001.2300173 ↗

92. Software-defined system support for enabling ubiquitous mobile edge computing10.1093/comjnl/bxx019 ↗

93. Blockchain versus database: A critical analysis

94. Analysis of blockchain technology: Pros, cons and swot10.1007/s10586-018-2387-5 ↗

95. A blockchain-based signature exchange protocol for metaverse10.1016/j.future.2022.12.031 ↗

96. Gemiverse: The blockchain-based professional certification and tourism platform with its own ecosystem in the metaverse10.1016/j.ijgeop.2022.05.004 ↗

97. A trustless architecture of blockchain-enabled metaverse10.1016/j.hcc.2022.100088 ↗

98. Fusing blockchain and AI with metaverse: A survey10.1109/OJCS.2022.3188249 ↗

99. Contribution of blockchain in development of metaverse

100. Z. Chen, J. Wu, W. Gan, and Z. Qi, “Metaverse security and privacy: An overview,” 2022. doi: 10.48550/arXiv.2211.14948.10.1109/BigData55660.2022.10021112 ↗