Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Luong, Nguyen Thi"'
Autor:
Babu Ganganboina, Akhilesh, Dung Nguyen, Manh, Hien Luong Nguyen, Thi, Prasetyo Kuncoro, Eko, Doong, Ruey-An
Publikováno v:
In Chemical Engineering Journal 1 December 2021 425
Autor:
Tung, Nguyen Thanh, Thuy, Le Thi Hong, Luong, Nguyen Thi, Van Khoi, Nguyen, Ha, Pham Thi Thu, Thang, Nguyen Hoc
Publikováno v:
In Journal of the Indian Chemical Society November 2021 98(11)
Autor:
Khanh Nguyen-Huu, Ninh Duong-Bao, Luong Nguyen Thi, Le Do Thi, Thuy Huynh Thi Thu, Seon-Woo Lee
Publikováno v:
Journal of Communication & Information Technology (CommIT Journal); 2024, Vol. 18 Issue 1, p109-121, 13p
Publikováno v:
Sensors, Vol 22, Iss 15, p 5709 (2022)
In recent years, due to the ubiquitous presence of WiFi access points in buildings, the WiFi fingerprinting method has become one of the most promising approaches for indoor positioning applications. However, the performance of this method is vulnera
Externí odkaz:
https://doaj.org/article/b84754bade714519871485daa5623e9d
Autor:
Wang, Zhen, Yu, Tiantang, Bui, Tinh Quoc, Trinh, Ngoc Anh, Luong, Nguyen Thi Hien, Duc, Nguyen Dinh, Doan, Duc Hong
Publikováno v:
In Advances in Engineering Software December 2016 102:105-122
Publikováno v:
2022 2nd International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET).
Publikováno v:
Artificial Intelligence in Data and Big Data Processing ISBN: 9783030976095
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c1ef2e50a66ddea0074d6de5a7d77c07
https://doi.org/10.1007/978-3-030-97610-1_48
https://doi.org/10.1007/978-3-030-97610-1_48
Autor:
Luong Nguyen-Thi, Phuong Le-Hong
Publikováno v:
Communications in Computer and Information Science ISBN: 9789811561672
PACLING
PACLING
This paper presents an experimental study in Vietnamese constituency syntactic parsing. We first compare results of two recent constituency parsers on a Vietnamese corpus, a shift-reduce constituency parser and a neural parser. We then integrate dist
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a1dbd864189c7eeab4129bb565753a69
https://doi.org/10.1007/978-981-15-6168-9_30
https://doi.org/10.1007/978-981-15-6168-9_30
Autor:
Luong, Nguyen Thi Hien *, Tri, Tran Huu
Publikováno v:
In Mechanics Research Communications 2005 32(2):139-146
Publikováno v:
Computación y Sistemas. 22
Recently, deep learning methods have achieved good results in dependency parsing for many natural languages. In this paper, we investigate the use of bidirectional long short-term memory network models for both transition-based and graph-based depend