Zobrazeno 1 - 10
of 132
pro vyhledávání: '"Tri-Thanh Nguyen"'
Autor:
Ngoc-Vu Nguyen, Thi-Lan Nguyen, Cam-Van Nguyen Thi, Mai-Vu Tran, Tri-Thanh Nguyen, Quang-Thuy Ha
Publikováno v:
Vietnam Journal of Computer Science, Vol 6, Iss 4, Pp 471-487 (2019)
Named entity recognition (NER) is a fundamental task which affects the performance of its dependent task, e.g. machine translation. Lifelong machine learning (LML) is a continuous learning process, in which the knowledge base accumulated from previou
Externí odkaz:
https://doaj.org/article/3fc661666b394bd19b22343573d904b9
Publikováno v:
Journal of Information and Telecommunication, Vol 2, Iss 2, Pp 147-162 (2018)
Fingerprint identification is one of the most common biometric feature problems which is used in many applications. Although state-of-the-art algorithms are very accurate, the need for fast processing a big database of millions of fingerprints is hig
Externí odkaz:
https://doaj.org/article/57e118180c8946598bfa122379571622
Publikováno v:
Foods, Vol 9, Iss 10, p 1468 (2020)
Plants need to be protected against pests and diseases, so as to assure an adequate production, and therefore to contribute to food security. However, some of the used pesticides are harmful compounds, and thus the right balance between the need to i
Externí odkaz:
https://doaj.org/article/902e825d86de4506885e6ff0891fb4ea
Autor:
Thanh-Huyen Pham, Van-Tuan Phan, Thi-Ngan Pham, Thi-Hong Vuong, Tri-Thanh Nguyen, Quang-Thuy Ha
Publikováno v:
Recent Challenges in Intelligent Information and Database Systems ISBN: 9789811982330
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8860a6ce62ec91ca393cf5b43ceb6615
https://doi.org/10.1007/978-981-19-8234-7_36
https://doi.org/10.1007/978-981-19-8234-7_36
Autor:
Cam-Van Nguyen Thi, Mai-Vu Tran, Tri-Thanh Nguyen, Ngoc-Vu Nguyen, Quang-Thuy Ha, Thi-Lan Nguyen
Publikováno v:
Vietnam Journal of Computer Science, Vol 6, Iss 4, Pp 471-487 (2019)
Named entity recognition (NER) is a fundamental task which affects the performance of its dependent task, e.g. machine translation. Lifelong machine learning (LML) is a continuous learning process, in which the knowledge base accumulated from previou
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7c0f7d135ca5cfd2e2294cdc526ad182
https://doi.org/10.1142/s219688881950026x
https://doi.org/10.1142/s219688881950026x
Autor:
Anh-Tuan Doan, Tri Thanh Nguyen
Publikováno v:
Recent Developments in Vietnamese Business and Finance
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0e5da60ac2ed2f8d007bc6eaae6dd585
https://doi.org/10.1142/9789811227158_0015
https://doi.org/10.1142/9789811227158_0015
Publikováno v:
Recent Challenges in Intelligent Information and Database Systems ISBN: 9789811616846
ACIIDS (Companion)
ACIIDS (Companion)
Covering based rough set is an important extension of Pawlak's traditional rough set. Reduction is a typical application of rough sets, including traditional, covering based and other rough set extensions. Although this task has several proposals, it
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2aa99b1d7575eaea2842628bfd7e4c47
https://doi.org/10.1007/978-981-16-1685-3_5
https://doi.org/10.1007/978-981-16-1685-3_5
Autor:
Thuan Ho, Thanh-Huyen Pham, Thi-Hong Vuong, Tri-Thanh Nguyen, Thi-Cam-Van Nguyen, Quang-Thuy Ha
Publikováno v:
Lecture Notes in Electrical Engineering ISBN: 9789813363847
Covering based rough set, an extension of the traditional rough set theory, which uses the cover set of the universe set instead of the partition of the universe, has proven to be both theoretical and attractive in terms of applications. Correspondin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4a55f8dd4892c506ab89952f7b7f41e8
https://doi.org/10.1007/978-981-33-6385-4_17
https://doi.org/10.1007/978-981-33-6385-4_17
Autor:
Thi-Ngan Pham, Thi-Cham Nguyen, Hong-Nhung Bui, Quang-Thuy Ha, Hoang-Quynh Le, Tri-Thanh Nguyen
Publikováno v:
KSE
Recently, deep Convolutional Neural Network (CNN) model has achieved remarkable results in Natural Language Processing (NLP) tasks, such as information retrieval, relation classification, semantic parsing, sentence modeling and other traditional NLP
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f80505abb7babce84d858bffa7c4ef29
https://doi.org/10.1109/kse50997.2020.9287397
https://doi.org/10.1109/kse50997.2020.9287397
Autor:
Dinh Duc Nguyen, X. Du Nguyen, Soon Woong Chang, W. J. Chung, Tri-Thanh Nguyen, Minh Trung Dao, Van Khanh Nguyen, D. Duong La
Publikováno v:
Sustainability
Volume 12
Issue 19
Sustainability, Vol 12, Iss 7909, p 7909 (2020)
Volume 12
Issue 19
Sustainability, Vol 12, Iss 7909, p 7909 (2020)
Abundantly available biomass wastes from agriculture can serve as effective environmental remediation materials. In this study, activated biochar was fabricated from macadamia nutshell (MCN) through carbonization and chemical modification. The result
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::87ec72863287faaeb5c4f55256875034