Zobrazeno 1 - 10
of 1 012
pro vyhledávání: '"Tran, Binh"'
Autor:
Lippi, Eleonora, Gerken, Manuel, Häfner, Stephan, Repp, Marc, Pires, Rico, Rautenberg, Michael, Krom, Tobias, Kuhnle, Eva D., Tran, Binh, Ulmanis, Juris, Zhu, Bing, Chomaz, Lauriane, Weidemüller, Matthias
We present the experimental apparatus enabling the observation of the heteronuclear Efimov effect in an optically trapped ultracold mixture of $^6$Li-$^{133}$Cs with high-resolution control of the interactions. A compact double-species Zeeman slower
Externí odkaz:
http://arxiv.org/abs/2410.16031
Autor:
Amarasinghe, Pivithuru Thejan, Pham, Diem, Tran, Binh, Nguyen, Su, Sun, Yuan, Alahakoon, Damminda
This paper introduces a novel approach, evolutionary multi-objective optimisation for fairness-aware self-adjusting memory classifiers, designed to enhance fairness in machine learning algorithms applied to data stream classification. With the growin
Externí odkaz:
http://arxiv.org/abs/2404.12076
Autor:
Spears, Claire Adams, Abroms, Lorien C, Glass, Carol R, Hedeker, Donald, Eriksen, Michael P, Cottrell-Daniels, Cherell, Tran, Binh Q, Wetter, David W
Publikováno v:
JMIR mHealth and uHealth, Vol 7, Iss 6, p e13059 (2019)
BackgroundMindfulness training shows promise for improving smoking cessation and lapse recovery, and between-session mobile health messages could enhance treatment engagement and effectiveness. Personalized, in-the-moment text messaging support could
Externí odkaz:
https://doaj.org/article/7b78dd65ed594810a5b54d5d1752cf83
Autor:
Ho Anh Hien, Nguyen Minh Tam, Dirk Devroey, Stefan Heytens, Vo Tam, Tran Binh Thang, Vo Nu Hong Duc, Dang Thi Thanh Nha, Doan Pham Phuoc Long, Nguyen Vu Phong, Huynh Van Minh, Hoang Anh Tien
Publikováno v:
Journal of Pharmacy & Pharmacognosy Research, Vol 12, Iss 5, Pp 943-955 (2024)
Context: Hypertension is highly prevalent in Vietnam, yet the rate of controlled hypertension remains low. Knowledge about hypertension is linked to patient beliefs and medication adherence. However, there's limited data on hypertension knowledge amo
Externí odkaz:
https://doaj.org/article/488d9b5c1d3943cf90770532b1d77879
Autor:
Ho Anh Hien, Nguyen Minh Tam, Dirk Devroey, Stefan Heytens, Vo Tam, Tran Binh Thang, Hoang Thi Bach Yen, Doan Pham Phuoc Long, Huynh Van Minh, Hoang Anh Tien
Publikováno v:
International Journal of Biomedicine, Vol 14, Iss 2, Pp 246-252 (2024)
Background: Assessing the 10-year cardiovascular disease (CVD) risk is crucial for effective prevention and management. Despite its significance, information is limited on CVD risk among hypertensive patients in primary care in Central Vietnam. We co
Externí odkaz:
https://doaj.org/article/ab964f7710f0446d84a7f928f5d89ddb
Autor:
Van Giap Vu, Anh Duc Hoang, Thu Phuong Phan, Ngoc Du Nguyen, Thanh Thuy Nguyen, Duc Nghia Nguyen, Ngoc Phu Dao, Thi Phuong Lan Doan, Thi Thanh Huyen Nguyen, Thi Huong Trinh, Thi Le Quyen Pham, Thi Thu Trang Le, Phan Thi Hanh, Van Tuyen Pham, Van Chuong Tran, Dang Luu Vu, Van Luong Tran, Thi Thu Thao Nguyen, Cam Phuong Pham, Gia Linh Pham, Son Ba Luong, Trung-Dung Pham, Duy-Phuc Nguyen, Thi Kieu Anh Truong, Quang Minh Nguyen, Truong-Thuy Tran, Tran Binh Dang, Viet-Cuong Ta, Quoc Long Tran, Duc-Trong Le, Le Sy Vinh
Publikováno v:
Scientific Data, Vol 11, Iss 1, Pp 1-9 (2024)
Abstract Flexible bronchoscopy has revolutionized respiratory disease diagnosis. It offers direct visualization and detection of airway abnormalities, including lung cancer lesions. Accurate identification of airway lesions during flexible bronchosco
Externí odkaz:
https://doaj.org/article/06005d4eff60410a854521a1e7ccb96e
Publikováno v:
In Journal of Traffic and Transportation Engineering (English Edition) October 2024 11(5):815-834
Autor:
Nguyen, Ha-Thanh, Nguyen, Minh-Phuong, Vuong, Thi-Hai-Yen, Bui, Minh-Quan, Nguyen, Minh-Chau, Dang, Tran-Binh, Tran, Vu, Nguyen, Le-Minh, Satoh, Ken
In this paper, we introduce our approaches using Transformer-based models for different problems of the COLIEE 2021 automatic legal text processing competition. Automated processing of legal documents is a challenging task because of the characterist
Externí odkaz:
http://arxiv.org/abs/2202.06397
Autor:
Tran, Binh Thang1 (AUTHOR) tranbinhthang@hueuni.edu.vn, Le, Dinh Duong1 (AUTHOR), Nguyen, Thanh Gia1 (AUTHOR), Nguyen, Minh Tu2 (AUTHOR), Nguyen, Minh Hanh3 (AUTHOR), Dang, Cao Khoa1 (AUTHOR), Tran, Dinh Trung1,4 (AUTHOR)
Publikováno v:
PLoS ONE. 6/28/2024, Vol. 19 Issue 6, p1-13. 13p.
Autor:
Nguyen, Ha-Thanh, Tran, Vu, Dang, Tran-Binh, Bui, Minh-Quan, Nguyen, Minh-Phuong, Nguyen, Le-Minh
Attention is all we need as long as we have enough data. Even so, it is sometimes not easy to determine how much data is enough while the models are becoming larger and larger. In this paper, we propose HYDRA heads, lightweight pretrained linguistic
Externí odkaz:
http://arxiv.org/abs/2109.05349