Zobrazeno 1 - 10
of 36
pro vyhledávání: '"Luu Ngo"'
Publikováno v:
2022 RIVF International Conference on Computing and Communication Technologies (RIVF).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b0bc00fd468e947e5e91896eb8b1d4d2
https://doi.org/10.1109/rivf55975.2022.10013825
https://doi.org/10.1109/rivf55975.2022.10013825
Publikováno v:
2021 8th NAFOSTED Conference on Information and Computer Science (NICS).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3e273374ea00f526d9ff3da7c247b3fe
https://doi.org/10.1109/nics54270.2021.9701449
https://doi.org/10.1109/nics54270.2021.9701449
Autor:
Pham Vu Hong Son, Luu Ngoc Quynh Khoi
Publikováno v:
Journal of Soft Computing in Civil Engineering, Vol 8, Iss 1, Pp 107-125 (2024)
In order to address optimization problems, artificial intelligence (AI) is employed in the construction industry, which aids in the growth and popularization of AI. This study utilizes a Hybrid algorithm called Adaptive Selection Slime Mold Algorithm
Externí odkaz:
https://doaj.org/article/5232b1de74624bb0bf4800699726511f
Autor:
Duc Luu Ngo, Naoki Yamamoto, Vu Anh Tran, Favorisen Rosyking Lumbanraja, Ngoc Giang Nguyen, Mamoru Kubo, Kenji Satou, Dau Phan
Publikováno v:
Journal of Biomedical Science and Engineering. :7-16
As a key technology of rapid and low-cost drug development, drug repositioning is getting popular. In this study, a text mining approach to the discovery of unknown drug-disease relation was tested. Using a word embedding algorithm, senses of over 1.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7d2bd204a63d86c153b83e0b5a0597a9
https://doi.org/10.4236/jbise.2016.91002
https://doi.org/10.4236/jbise.2016.91002
Autor:
Mohammad Reza Faisal, Vu Anh Tran, Mamoru Kubo, Bahriddin Abapihi, Kenji Satou, Ngoc Giang Nguyen, Dau Phan, Duc Luu Ngo, Favorisen Rosyking Lumbanraja
Publikováno v:
Journal of Biomedical Science and Engineering. :280-286
In recent years, a deep learning model called convolutional neural network with an ability of extracting features of high-level abstraction from minimum preprocessing data has been widely used. In this research, we proposed a new approach in classify
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::489cd44c70de3665e0dfcd3994ab6c54
https://doi.org/10.4236/jbise.2016.95021
https://doi.org/10.4236/jbise.2016.95021
Publikováno v:
Tạp chí Khoa học và Công nghệ, Pp 46-51 (2023)
Ngày nay, các nguồn năng lượng tái tạo đang được sử dụng rộng rãi trên thế giới và ở Việt Nam, không chỉ trong khai thác để phục vụ sản xuất điện năng nhằm giảm sử dụng năng lượng hóa t
Externí odkaz:
https://doaj.org/article/67f40c847ef041d1a95d42f6fbf80dcb
Autor:
Ngoc Giang Nguyen, Mamoru Kubo, Vu Anh Tran, Duc Luu Ngo, Lan Anh T. Nguyen, Sergey Gavrilov, Favorisen Rosyking Lumbanraja, Kenji Satou, Dau Phan
Publikováno v:
Advances in Remote Sensing. :1-14
We developed a ground observation system for solid precipitation using two-dimensional video disdrometer (2DVD). Among 16,010 particles observed by the system, around 10% of them were randomly sampled and manually classified into five classes which a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5a8a728414f042f8bf8c920b0025f8ad
https://doi.org/10.4236/ars.2015.41001
https://doi.org/10.4236/ars.2015.41001
Autor:
Duc Luu Ngo, Ngoc Giang Nguyen, Lan Anh T. Nguyen, Yoichi Yamada, Xuan Tho Dang, Sergey Gavrilov, Tu Kien T. Le, Thammakorn Saethang, Kenji Satou, Vu Anh Tran, Mamoru Kubo
Publikováno v:
Journal of Biomedical Science and Engineering. :927-940
β-turn is one of the most important reverse turns because of its role in protein folding. Many computational methods have been studied for predicting β-turns and β-turn types. However, due to the imbalanced dataset, the performance is still inadeq
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9f604eebf4cc251ea22f72d90ab5895d
https://doi.org/10.4236/jbise.2014.711090
https://doi.org/10.4236/jbise.2014.711090
Autor:
Tu Kien T. Le, Kenji Satou, Vu Anh Tran, Mamoru Kubo, Xuan Tho Dang, Osamu Hirose, Thammakorn Saethang, Duc Luu Ngo, Gavrilov Sergey, Lan Anh T. Nguyen, Yoichi Yamada
Publikováno v:
Journal of Software Engineering and Applications. :639-654
In this study, we propose a data preprocessing algorithm called D-IMPACT inspired by the IMPACT clustering algorithm. D-IMPACT iteratively moves data points based on attraction and density to detect and remove noise and outliers, and separate cluster
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b70d54bda41615efc1d4d27616c8e787
https://doi.org/10.4236/jsea.2014.78059
https://doi.org/10.4236/jsea.2014.78059