Zobrazeno 1 - 10
of 210
pro vyhledávání: '"Trần Tuấn Anh"'
Autor:
Truong, Nhat Hao, Mai, Huu Thien, Tran, Tuan Anh, Tran, Minh Quang, Nguyen, Duc Duy, Pham, Ngoc Viet Phuong
End-to-end deep learning approaches has been proven to be efficient in autonomous driving and robotics. By using deep learning techniques for decision-making, those systems are often referred to as a black box, and the result is driven by data. In th
Externí odkaz:
http://arxiv.org/abs/2304.08252
Autor:
Mallesh, Baithi, Dang, Ngoc Toan, Tran, Tuan Anh, Luong, Dinh Hoa, Dhakal, Krishna P., Yoon, Duhee, Rutkauskas, Anton V., Kichanov, Sergei E., Zel, Ivan Y., Kim, Jeongyoung, Kozlenko, Denis P., Lee, Young Hee, Duong, Dinh Loc
Although the magnetic order is suppressed by a strong magnetic frustration, it is maintained but appears in complex order forms such as a cycloid or spin density wave in weakly frustrated systems. Herein, we report a weakly magnetic-frustrated two-di
Externí odkaz:
http://arxiv.org/abs/2210.15094
Publikováno v:
European Conference on Computer Vision (ECCV), 2022, Oral Presentation
Current 3D segmentation methods heavily rely on large-scale point-cloud datasets, which are notoriously laborious to annotate. Few attempts have been made to circumvent the need for dense per-point annotations. In this work, we look at weakly-supervi
Externí odkaz:
http://arxiv.org/abs/2206.01203
Publikováno v:
In LITHOS 1 November 2024 484-485
Autor:
Baithi, Mallesh, Dang, Ngoc Toan, Nguyen, Tuan Dung, Tran, Tuan Anh, Dinh, Thanh Khan, Choi, Sungkyun, Duong, Dinh Loc
Publikováno v:
In Journal of Alloys and Compounds 30 June 2024 990
Publikováno v:
In Journal of Manufacturing Systems October 2023 70:538-556
Autor:
Gladysz, Bartlomiej, Tran, Tuan-anh, Romero, David, van Erp, Tim, Abonyi, János, Ruppert, Tamás
Publikováno v:
In Journal of Manufacturing Systems October 2023 70:160-185
Autor:
Võ Thị Minh Thảo, Nguyễn Thị Cành, Nguyễn Lữ Nguyệt Hằng, Vũ Cao Lan Anh, Nguyễn Minh Khánh, Nguyễn Ngọc Phi, Trần Tuấn Anh, Phạm Thị Ái Niệm, Nguyễn Tấn Đức
Publikováno v:
Tạp chí Khoa học Đại học Mở Thành phố Hồ Chí Minh - Kỹ thuật và Công nghệ, Vol 18, Iss 1, Pp 5-16 (2023)
Mục tiêu của nghiên cứu này là xác định các tính chất hóa lý và ảnh hưởng của pH đến khả năng hấp phụ ammonium, nitrite và nitrate của than sinh học từ xơ dừa từ đó hướng đến làm vật liệu
Externí odkaz:
https://doaj.org/article/49f9fcddbe714997a62ae88ffda1a2dc
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.