Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Vu Tuan Truong"'
Publikováno v:
IEEE Access, Vol 12, Pp 68556-68572 (2024)
The Metaverse relies on advanced machine learning (ML) techniques to facilitate the seamless mapping between the virtual and physical realms. ML-based technologies also enable metaverse service providers (MSPs) to offer a diverse range of intelligent
Externí odkaz:
https://doaj.org/article/dc466c8be2254b27a515c26bb81d286c
Publikováno v:
IEEE Access, Vol 12, Pp 41815-41828 (2024)
The rapid development of the metaverse and generative Artificial Intelligence (GAI) has led to the emergence of AI-Generated Content (AIGC). Unlike real-world products, AIGCs are represented as digital files, thus vulnerable to plagiarism and leakage
Externí odkaz:
https://doaj.org/article/668a9d4fa1824530b951b05bd4818196
Autor:
Vu Tuan Truong, Long Bao Le
Publikováno v:
IEEE Open Journal of the Computer Society, Vol 4, Pp 253-266 (2023)
Metaverse is expected to rely on massive Internet of Things (IoT) connections so it inherits various security threats from the IoT network and also faces other sophisticated attacks related to virtual reality technology. As traditional security appro
Externí odkaz:
https://doaj.org/article/d44fb7808609469caf9531877cc8f7f2
Publikováno v:
IEEE Access, Vol 11, Pp 26258-26288 (2023)
Envisioned to be the next-generation Internet, the metaverse has been attracting enormous attention from both the academia and industry. The metaverse can be viewed as a 3D immersive virtual world, where people use Augmented/Virtual Reality (AR/VR) d
Externí odkaz:
https://doaj.org/article/c6f201244b0f425c90945801faf71b2c
Federated learning (FL) has emerged as a machine learning (ML) paradigm for distributed training without requiring trainers to share private data. Coevally, unmanned aerial vehicles (UAVs) become sufficiently powerful that they can contribute to trai
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::33de5ac2a49c06e871be7347ae4e9343
https://doi.org/10.36227/techrxiv.22730012.v1
https://doi.org/10.36227/techrxiv.22730012.v1