Zobrazeno 1 - 10
of 152
pro vyhledávání: '"Phan, Dung"'
This article investigates the torsion homology behaviour in towers of Oeljeklaus-Toma (OT) manifolds. This adapts an idea of Silver and Williams from knot theory to OT-manifolds and extends it to higher degree homology groups.In the case of surfaces,
Externí odkaz:
http://arxiv.org/abs/2406.14942
Autor:
Do, Binh N, Tran, Tien V, Phan, Dung T, Nguyen, Hoang C, Nguyen, Thao T P, Nguyen, Huu C, Ha, Tung H, Dao, Hung K, Trinh, Manh V, Do, Thinh V, Nguyen, Hung Q, Vo, Tam T, Nguyen, Nhan P T, Tran, Cuong Q, Tran, Khanh V, Duong, Trang T, Pham, Hai X, Nguyen, Lam V, Nguyen, Kien T, Chang, Peter W S, Duong, Tuyen Van
Publikováno v:
Journal of Medical Internet Research, Vol 22, Iss 11, p e22894 (2020)
BackgroundThe COVID-19 pandemic has imposed a heavy burden on health care systems and governments. Health literacy (HL) and eHealth literacy (as measured by the eHealth Literacy Scale [eHEALS]) are recognized as strategic public health elements but t
Externí odkaz:
https://doaj.org/article/44e52ec8321b4113977a6860577da930
High intensity laser facilities are expanding their scope from laser and particle-acceleration test beds to user facilities and nuclear physics experiments. A basic goal is to confirm long-standing predictions of strong-field quantum electrodynamics,
Externí odkaz:
http://arxiv.org/abs/2307.10453
Autor:
Totani, Dante, Cancelo, Gustavo, Cavanna, Flavio, Escobar, Carlos O., Kemp, Ernesto, Marinho, Franciole, Paulucci, Laura, Phan, Dung D., Mufson, Stuart, Macias, Chris, Warner, David
Publikováno v:
JINST 15 T06003 (2020)
In the Fall of 2017, two photon detector designs for the Deep Underground Neutrino Experiment (DUNE) Far Detector were installed and tested in the TallBo liquid argon (LAr) cryostat at the Proton Assembly (PAB) facility, Fermilab. The designs include
Externí odkaz:
http://arxiv.org/abs/2008.05371
Publikováno v:
In Geoenergy Science and Engineering December 2023 231 Part A
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Autor:
Phan, Dung T., Grosu, Radu, Jansen, Nils, Paoletti, Nicola, Smolka, Scott A., Stoller, Scott D.
We present the Neural Simplex Architecture (NSA), a new approach to runtime assurance that provides safety guarantees for neural controllers (obtained e.g. using reinforcement learning) of autonomous and other complex systems without unduly sacrifici
Externí odkaz:
http://arxiv.org/abs/1908.00528
Autor:
Liu, Chao, Phan, Dung T.
Publikováno v:
In International Journal of Mining Science and Technology July 2023 33(7):793-800
Autor:
Phan, Dung, Paoletti, Nicola, Zhang, Timothy, Grosu, Radu, Smolka, Scott A., Stoller, Scott D.
We introduce the State Classification Problem (SCP) for hybrid systems, and present Neural State Classification (NSC) as an efficient solution technique. SCP generalizes the model checking problem as it entails classifying each state $s$ of a hybrid
Externí odkaz:
http://arxiv.org/abs/1807.09901
We show how machine-learning techniques, particularly neural networks, offer a very effective and highly efficient solution to the approximate model-checking problem for continuous and hybrid systems, a solution where the general-purpose model checke
Externí odkaz:
http://arxiv.org/abs/1712.01935