Zobrazeno 1 - 10
of 912
pro vyhledávání: '"Dang, Hung"'
In this study, we employ a first-principles approach to conduct a comprehensive investigation of the properties of nine common native point defects in cubic boron nitride. This analysis combines standard semi-local and dielectric hybrid density-excha
Externí odkaz:
http://arxiv.org/abs/2402.08464
Autor:
Hoang Nguyen, Duc Huan Pham, Tuan Hiep Luong, Xuan Hoa Nguyen, Dang Hung Nguyen, An Khang Nguyen
Publikováno v:
BMC Surgery, Vol 24, Iss 1, Pp 1-8 (2024)
Abstract Introduction To mitigate gastroparesis as well as other post-operative complications, we undertook a prospective multicenter study to assess the feasibility, safety, and efficacy in the short-term outcomes of laparoscopic and thoracoscopic w
Externí odkaz:
https://doaj.org/article/0b3758d81aae4257a7d1342be7f40bd9
Blockchain systems are designed, built and operated in the presence of failures. There are two dominant failure models, namely crash fault and Byzantine fault. Byzantine fault tolerance (BFT) protocols offer stronger security guarantees, and thus are
Externí odkaz:
http://arxiv.org/abs/2208.01946
Publikováno v:
In Pediatric Neurology June 2024 155:177-181
Autor:
Dang, Hung T., Nghiem, Hoa T. M.
The Anderson model of an $s$-wave single-orbital correlated impurity placed on a noninteracting honeycomb lattice, a simplified model for studying an impurity on graphene, is used to investigate pseudogap Kondo problem. In this model, there are two q
Externí odkaz:
http://arxiv.org/abs/2107.09854
Autor:
Nguyen, Hoang, Pham, Duc Huan, Luong, Tuan Hiep, Nguyen, Xuan Hoa, Nguyen, Dang Hung, Nguyen, An Khang
Publikováno v:
BMC Surgery; 10/16/2024, Vol. 24 Issue 1, p1-8, 8p
Publikováno v:
Applied Sciences, Vol 14, Iss 8, p 3491 (2024)
Motivated by the increasing interest in clinical studies focused on infant movements and poses, this research addresses the limited emphasis on speed and efficiency in existing 2D and 3D pose estimation methods, particularly concerning infant dataset
Externí odkaz:
https://doaj.org/article/a5a11f4f2e8f444eb6c0da897e5a12d0
Autor:
Dang, Hung, Chang, Ee-Chien
Data privacy is unarguably of extreme importance. Nonetheless, there exist various daunting challenges to safe-guarding data privacy. These challenges stem from the fact that data owners have little control over their data once it has transgressed th
Externí odkaz:
http://arxiv.org/abs/1911.09305
The rise of machine learning as a service and model sharing platforms has raised the need of traitor-tracing the models and proof of authorship. Watermarking technique is the main component of existing methods for protecting copyright of models. In t
Externí odkaz:
http://arxiv.org/abs/1906.06046
Autor:
Dang, Hung, Chang, Ee-Chien
Trusted Execution Environment, or enclave, promises to protect data confidentiality and execution integrity of an outsourced computation on an untrusted host. Extending the protection to distributed applications that run on physically separated hosts
Externí odkaz:
http://arxiv.org/abs/1905.06460