Zobrazeno 1 - 10
of 571
pro vyhledávání: '"Nguyen Tien-Dat"'
While UWB-based methods can achieve high localization accuracy in small-scale areas, their accuracy and reliability are significantly challenged in large-scale environments. In this paper, we propose a learning-based framework named ULOC for Ultra-Wi
Externí odkaz:
http://arxiv.org/abs/2409.11122
We present a general framework for symmetrizing an arbitrary neural-network architecture and making it equivariant with respect to a given group. We build upon the proposals of Kim et al. (2023); Kaba et al. (2023) for symmetrization, and improve the
Externí odkaz:
http://arxiv.org/abs/2311.07143
We present a novel framework to overcome the limitations of equivariant architectures in learning functions with group symmetries. In contrary to equivariant architectures, we use an arbitrary base model such as an MLP or a transformer and symmetrize
Externí odkaz:
http://arxiv.org/abs/2306.02866
Autor:
Nguyen Quang Trung, Nguyen Tien Dat, Ho Ngoc Anh, Quach Ngoc Tung, Vu Thi Hanh Nguyen, Ho Ngoc Bich Van, Nguyen Minh Nhat Van, Truong Ngoc Minh
Publikováno v:
Chemistry, Vol 6, Iss 4, Pp 517-530 (2024)
Cordyceps militaris, well known for its therapeutic potential in managing type-2 diabetes through the inhibition of α-amylase and α-glucosidase enzymes, was the central focus of this research, which investigated the influence of various cultivation
Externí odkaz:
https://doaj.org/article/8fba0411738e46d8b877a72b34fc7f6e
Autor:
Kim, Jinwoo, Nguyen, Tien Dat, Min, Seonwoo, Cho, Sungjun, Lee, Moontae, Lee, Honglak, Hong, Seunghoon
We show that standard Transformers without graph-specific modifications can lead to promising results in graph learning both in theory and practice. Given a graph, we simply treat all nodes and edges as independent tokens, augment them with token emb
Externí odkaz:
http://arxiv.org/abs/2207.02505
In this paper, we deal with nonparametric regression for circular data, meaning that observations are represented by points lying on the unit circle. We propose a kernel estimation procedure with data-driven selection of the bandwidth parameter. For
Externí odkaz:
http://arxiv.org/abs/2204.02726
Autor:
Ngo Van Hieu, Le Ba Vinh, Nguyen Viet Phong, Pham Van Cong, Nguyen Tien Dat, Nguyen Van Dan, Ngo Viet Duc, Hoang Minh Tao, Le Thi Tam, Le Tuan Anh, Nguyen Cao Cuong, Bui Huu Tai, Seo Young Yang, Hoang Le Tuan Anh
Publikováno v:
Plants, Vol 13, Iss 15, p 2100 (2024)
Gnetum formosum Markgr., a member of the Gnetaceae family, is distributed in Vietnam. This plant remains a botanical enigma with an unexplored diversity of chemical constituents and pharmacological effects. In this study, two new steroidal saponins,
Externí odkaz:
https://doaj.org/article/2f96e015a22c474dbf1dcf62c3c4d26f
We are interested in reconstructing the initial condition of a non-linear partial differential equation (PDE), namely the Fokker-Planck equation, from the observation of a Dyson Brownian motion at a given time $t>0$. The Fokker-Planck equation descri
Externí odkaz:
http://arxiv.org/abs/2006.11899
Publikováno v:
PLoS One. 2020; 15(3): e0230557
Science depends heavily on reliable and easy-to-use software packages, such as mathematical libraries or data analysis tools. Developing such packages requires a lot of effort, which is too often avoided due to the lack of funding or recognition. In
Externí odkaz:
http://arxiv.org/abs/1912.01640
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