Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Minh Tu Hoang"'
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-11 (2021)
Abstract This article proposes a universal activation function (UAF) that achieves near optimal performance in quantification, classification, and reinforcement learning (RL) problems. For any given problem, the gradient descent algorithms are able t
Externí odkaz:
https://doaj.org/article/761a26ef959a4ff2b37e7710b3ce6b10
Autor:
Thi Giao Ha Nguyen, Minh Tu Hoang, Viet My Pham, Tan Tho Vu, Van Lanh Dang, Van Dung Thach, Hien Dat Huynh, Huynh Trang Vo
Publikováno v:
Tạp chí Y Dược học Cần Thơ. :72-79
Background: Anthropometry is a part of physical anthropology, a science that allows the study of measurement methods on the human body and the use of mathematics to analyze the measured results in order to find patterns about human physical developme
Autor:
Thi Giao Ha Nguyen, Huynh Trang Vo, Van Lam Nguyen, Minh Tu Hoang, Viet My Pham, Tan Tho Vu, Tin Nghia Tran, Thi Thao Mai Ha, Nguyen Hong Nhung Tran
Publikováno v:
Tạp chí Y Dược học Cần Thơ. :102-108
Background: the anthropometrical measures and indexes are essential elements in research on human development. Measuring the measurement of the human physique to identify the developmental rules has been studied for a long time and in many places wor
Autor:
Jacob McKnight, An Phuoc Luu, Jennifer Van Nuil, Khanh Nguyen Quoc Phan, Van Minh Tu Hoang, Nhat Tran Huy Phung, Tung Le Nhu Nguyen, Hao Van Nguyen, Khoa Bach Dao, Hai Bich Ho, Khanh Thuy Thuy Le, Huy Quang Nguyen, Yen Minh Lam, Trung Ngoc Truong, Truong Thanh Nguyen, Chau Van Vinh Nguyen, Louise Thwaites
The number of patients in need of critical care increased sharply in Vietnam during the COVID-19 pandemic putting increased pressure on the Hospital for Tropical Diseases, which was designated as a centre for treatment. In order to meet the new deman
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9739fb0e48a706ba6f159abd10d8df04
https://doi.org/10.21203/rs.3.rs-2034612/v1
https://doi.org/10.21203/rs.3.rs-2034612/v1
Publikováno v:
IEEE Sensors Journal. 20:6160-6169
This paper proposes a semi-sequential probabilistic model (SSP) that applies an additional short term memory to enhance the performance of the probabilistic indoor localization. The conventional probabilistic methods normally treat the locations in t
Publikováno v:
IEEE Internet of Things Journal. 6:10639-10651
This paper proposes recurrent neuron networks (RNNs) for a fingerprinting indoor localization using WiFi. Instead of locating user's position one at a time as in the cases of conventional algorithms, our RNN solution aims at trajectory positioning an
Publikováno v:
Zeitschrift für Kristallographie - New Crystal Structures. 235:1151-1153
C14H17NO4, monoclinic, P21/c (no. 14), a = 9.6719(19) Å, b = 13.529(3) Å, c = 11.094(2) Å, β = 112.31(3)°, V = 1342.9(5) Å3, Z = 4, R gt(F) = 0.0480, wR ref(F 2) = 0.1422, T = 293(2) K.
Autor:
Tyler Reese, Minh Tu Hoang, Yizhou Zhu, Tao Lu, Brosnan Yuen, Robert Westendorp, Xiaodai Dong, Michael Xie
Publikováno v:
IEEE Sensors Journal. 18:10208-10216
This paper proposes a soft range limited K nearest neighbours (SRL-KNN) localization fingerprinting algorithm. The conventional KNN determines the neighbours of a user by calculating and ranking the fingerprint distance measured at the unknown user l
Autor:
Yue Zhai, Xin Ma, Minh-Tu Hoang, Zi-Wei Wang, Shuang Gao, Ying Fu, Fei Ye, Na Li, Yuan-Yuan Zhang, Li-Xia Zhao
Publikováno v:
Pest management scienceREFERENCES. 77(1)
Background Herbicide safeners mitigate crop damage without reducing herbicide efficacy. Here, the protective effects of phenoxyacetyl oxazolidine derivatives as potential safeners were evaluated with a view toward reducing injury caused by sulfonylur
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