Zobrazeno 1 - 10
of 60
pro vyhledávání: '"Vu Minh Thanh"'
Autor:
Dao The Nam, Le Van Thu, Nguyen Tuan Hong, Nguyen Trung Dung, Vu Minh Thanh, Nguyen Thi Huong
Publikováno v:
Chemical Engineering Transactions, Vol 78 (2020)
In this study, the pyrocarbon deposition process from the methane/hydrogen gases mixture into the graphite- and coal tar-based nanocomposite in the low pressure condition was investigated. When adjusting vacuum of isotherm process and maintaining the
Externí odkaz:
https://doaj.org/article/94f92c4666d94133ac8060f0e5fa0a29
Autor:
Vu Minh Thanh, Le Minh Bui, Long Giang Bach, Ngoc Tung Nguyen, Hoa Le Thi, Thai Thanh Hoang Thi
Publikováno v:
Materials, Vol 12, Iss 9, p 1446 (2019)
In this study, the introduction of Origanum majorana L. essential oil into a polyamidoamine (PAMAM) G4.0 dendrimer was performed for creation of a potential nanocide against Phytophthora infestans. The characteristics of marjoram oil and PAMAM G4.0 w
Externí odkaz:
https://doaj.org/article/6ea9b169d2514900bec1b01f4527708a
Autor:
Vu, Minh Thanh
In this work, we establish an asymptotic limit of almost-lossless compression of a random, finite alphabet tensor which admits a low-rank canonical polyadic decomposition.
Comment: This version fixes typos and adds some remarks
Comment: This version fixes typos and adds some remarks
Externí odkaz:
http://arxiv.org/abs/2210.04041
Autor:
Vu, Minh Thanh
In this paper we revisit the binary hypothesis testing problem with one-sided compression. Specifically we assume that the distribution in the null hypothesis is a mixture distribution of iid components. The distribution under the alternative hypothe
Externí odkaz:
http://arxiv.org/abs/2111.14279
Belief propagation (BP) algorithm is a widely used message-passing method for inference in graphical models. BP on loop-free graphs converges in linear time. But for graphs with loops, BP's performance is uncertain, and the understanding of its solut
Externí odkaz:
http://arxiv.org/abs/2006.15363
We propose two neural network based mixture models in this article. The proposed mixture models are explicit in nature. The explicit models have analytical forms with the advantages of computing likelihood and efficiency of generating samples. Comput
Externí odkaz:
http://arxiv.org/abs/1907.13432
Publikováno v:
ICASSP 2019
We investigate the use of entropy-regularized optimal transport (EOT) cost in developing generative models to learn implicit distributions. Two generative models are proposed. One uses EOT cost directly in an one-shot optimization problem and the oth
Externí odkaz:
http://arxiv.org/abs/1811.06763
In this paper we consider optimal multiuser downlink beamforming in the presence of a massive number of arbitrary quadratic shaping constraints. We combine beamforming with full-rate high dimensional real-valued orthogonal space time block coding (OS
Externí odkaz:
http://arxiv.org/abs/1502.04488
Autor:
Pham, Thi Mai Huong1 (AUTHOR), Vu, Minh Thanh2 (AUTHOR), Cong, Tien Dung3 (AUTHOR), Nguyen, Ngoc Son2 (AUTHOR), Doan, Tuan Anh2 (AUTHOR), Truong, Thi Thao4 (AUTHOR), Nguyen, Thi Huong2 (AUTHOR) nguyenhuong0916@gmail.com
Publikováno v:
Bulletin of Materials Science. Mar2022, Vol. 45 Issue 1, p1-10. 10p.
Akademický článek
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