Zobrazeno 1 - 10
of 93
pro vyhledávání: '"Thang Van Nguyen"'
Publikováno v:
Applied Sciences, Vol 13, Iss 5, p 3139 (2023)
The transportation of oil and gas in Russia’s northern and Arctic regions has seen significant growth in recent years. However, the presence of permafrost in these areas can cause malfunctions in the main pipelines due to soil frost heaving. The op
Externí odkaz:
https://doaj.org/article/1c272ebe43b54be9b70491329cfb9c19
Publikováno v:
IEEE Access, Vol 7, Pp 58394-58406 (2019)
Pushing contents to users with device-to-device (D2D) data sharing is considered as a promising solution to overcome backhaul congestion. However, this model is associated with critical issues which are user selfishness in terms of sharing personal r
Externí odkaz:
https://doaj.org/article/d356e3f693b944f0904045a2e8cf12d1
Autor:
Thang Van Vu, Hieu Trong Nguyen, Thang Van Nguyen, Hiep Van Nguyen, Huong Thi Thanh Pham, Lan Thi Nguyen
Publikováno v:
Advances in Meteorology, Vol 2015 (2015)
28 years (1980–2007) of station and gridded reanalysis data were used to investigate the effects of El Niño/Southern Oscillation (ENSO) on autumn rainfall in the Extended Central Vietnam (ECV) region. Results show that, under El Niño conditions,
Externí odkaz:
https://doaj.org/article/ec242db9014f4bd2982ae945e128de7a
Publikováno v:
Journal of Work Applied Management (JWAM); 2024, Vol. 16 Issue 2, p218-234, 17p
Akademický článek
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Publikováno v:
Journal of Marketing Communications. :1-26
Social media marketing facilitated prospective students to communicate and collaborate to gather information relevant to higher education institutions and their respective brand equity. More complex and dynamic models focusing on customer-based brand
Autor:
Hyoung-Min Park, Ly Le, Nguyen, Thao T., Ki Hong Nam, Alban Ordureau, Lee, J. Eugene, Thang Van Nguyen
Publikováno v:
Proceedings of the National Academy of Sciences of the United States of America; 11/7/2023, Vol. 120 Issue 45, p1-32, 42p
Akademický článek
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Publikováno v:
Journal of Biosciences and Medicines. 10:190-201
Publikováno v:
International Journal on Artificial Intelligence Tools. 32
Detecting intents and extracting necessary contextual information (aka named entities) in input utterances are two fundamental tasks in understanding what the users say in chatbot systems. While most work in this field has been dedicated to high-reso