Metaverse Technologies

22 Items

Metaverse Technologies: This category can include papers on the technical aspects of metaverse development, such as virtual reality (VR), augmented reality (AR), blockchain, spatial computing, and immersive experiences.

  1. Virtual Reality (VR) Development: Research on the design, hardware, and software components of VR systems, including headset technology, haptic feedback, and 3D spatial mapping.

  2. Augmented Reality (AR) Innovations: Exploration of AR technologies, such as AR glasses, smartphone applications, and the integration of digital information into real-world environments.

  3. Blockchain and Decentralization: Studies on how blockchain technology is leveraged within the metaverse, enabling digital asset ownership, secure transactions, and decentralized virtual worlds.

  4. Spatial Computing and Metaverse Platforms: Discussions on the spatial computing technologies that power the metaverse, such as spatial mapping, geolocation-based AR, and the development of metaverse platforms like the Metaverse Engine.

  5. Immersive Experiences and Interactive Environments: Research on creating immersive and interactive metaverse environments, including advancements in user interfaces, gesture recognition, and immersive storytelling.

  6. Metaverse Content Creation Tools: Topics related to software and tools for content creation in the metaverse, including 3D modeling, virtual world design, and animation software.

  7. Metaverse Security and Privacy: Exploration of technologies and strategies to ensure the security and privacy of users within the metaverse, including encryption, digital identity, and cybersecurity measures.

  8. AI-driven Metaverse Interactions: Research on the use of artificial intelligence and machine learning to enhance user experiences, enable intelligent NPCs (non-player characters), and personalize interactions within virtual worlds.

  9. Metaverse Infrastructure and Cloud Services: Discussions on the infrastructure required to support the metaverse, including cloud computing, server architecture, and the scalability of metaverse platforms.

  10. Metaverse Integration with Real-World Technologies: How the metaverse integrates with real-world technologies, such as IoT (Internet of Things), 5G connectivity, and smart city initiatives.

 

All Items

  • Transforming user experience in the metaverse through edge technology
    Javad Pourqasem

    21-31
    https://doi.org/10.22105/metaverse.v1i1.19

  • Privacy-preserving models for IoT-based smart city infrastructure
    Soumyadeep Dafadar

    45-51
    https://doi.org/10.22105/metaverse.v1i1.58

  • Optimization of network latency in cloud-based IoT systems
    Srinithi Mitra

    121-128
    https://doi.org/10.22105/metaverse.v1i3.67

  • IoT-enabled smart city governance using AI-based data analytics
    Jyotiraditya Das

    1-15
    https://doi.org/10.22105/metaverse.v1i2.54

  • IoT-cloud-based platforms for smart city infrastructure management
    Prithwiraj Das

    91-96
    https://doi.org/10.22105/metaverse.v1i2.64

  • IoT-based intelligent traffic control using cloud and edge computing
    Aryan Aaditya

    52-61
    https://doi.org/10.22105/metaverse.v1i2.60

  • IoT-based emergency response systems for smart cities
    Dipanshu Modi

    72-80
    https://doi.org/10.22105/metaverse.v1i2.62

  • Energy-efficient protocols for wireless sensor networks in IoT applications
    Anish Bhargav

    40-50
    https://doi.org/10.22105/metaverse.v2i1.52

  • Energy-efficient communication in edge computing iot networks
    Aryan Pandey

    21-30
    https://doi.org/10.22105/metaverse.v2i1.47

  • Edge computing for smart city internet of thing device synchronization
    Sabyasachi Deb Biswas

    25-31
    https://doi.org/10.22105/metaverse.v1i2.56

  • Database security in psychiatry: leveraging large language models and blockchain for secure data management
    Joel Nithish Kumar Murugan, Padmavathi Vyshnavi Madarampalli, Shashikant Ramesh Yadav

    81-90
    https://doi.org/10.22105/metaverse.v1i2.63

  • Cloud-IoT integration for predictive analytics in smart city governance
    Aryan Singh

    11-20
    https://doi.org/10.22105/metaverse.v2i1.46

  • Cloud computing frameworks for smart city IoT deployments
    Nagendra Kumar

    129-138
    https://doi.org/10.22105/metaverse.v1i3.68

  • Cloud and edge computing collaboration for IoT-enabled traffic monitoring
    Sohom Chakraborty

    51-59
    https://doi.org/10.22105/metaverse.v2i1.53

  • Blockchain-enhanced internet of thing networks for data privacy
    Vanshika Rani

    16-24
    https://doi.org/10.22105/metaverse.v1i2.55

  • AI–powered routing mechanisms for IoT networks in smart cities
    Shikhar Srivastava

    36-44
    https://doi.org/10.22105/metaverse.v1i1.59

  • AI_assisted IoT systems for smart city public safety solutions
    Nikhil Tripathi

    109-120
    https://doi.org/10.22105/metaverse.v1i3.66

  • AI-powered smart city infrastructure with integrated IoT systems
    Aman Kumar Sharma

    62-71
    https://doi.org/10.22105/metaverse.v1i2.61

  • AI-powered routing strategies for low-latency IoT networks
    Sanchita Roy

    139-149
    https://doi.org/10.22105/metaverse.v1i3.69

  • AI-powered resource allocation in smart city IoT networks
    Nandini Mathur

    32-35
    https://doi.org/10.22105/metaverse.v1i2.57

  • AI-enhanced IoT security solutions for urban networks
    Purbasa Dhal

    97-108
    https://doi.org/10.22105/metaverse.v1i2.65

  • AI enhanced cybersecurity for cloud-IOT infrastructure in smart cities
    G Dhvani Iyer

    31-39
    https://doi.org/10.22105/metaverse.v2i1.48