Zobrazeno 1 - 10
of 91
pro vyhledávání: '"Thanh-Nghi Do"'
Publikováno v:
Journal of Information and Telecommunication, Vol 4, Iss 1, Pp 17-35 (2020)
Our proposed decision trees using local support vector regression models (tSVR, rtSVR) aim to efficiently handle the regression task for large datasets. The learning algorithm tSVR of regression models is done by two main steps. The first one is to c
Externí odkaz:
https://doaj.org/article/d6e53784455949d3b6e37067afcfaab4
Publikováno v:
Journal of Information and Telecommunication, Vol 3, Iss 4, Pp 533-547 (2019)
In recent years, cancer is one of the leading causes of death worldwide. Therefore, there are more and more studies that have been conducted to find effective solutions to diagnose and treat cancer. However, there are still many challenges in cancer
Externí odkaz:
https://doaj.org/article/caf7bc9c4ab94b52866438a9574796c2
Autor:
Tri-Thuc Vo, Thanh-Nghi Do
Publikováno v:
Journal of Information & Communication Convergence Engineering; Jun2024, Vol. 22 Issue 2, p165-171, 7p
Autor:
Ti-Hon Nguyen, Thanh-Nghi Do
Publikováno v:
Journal of information and communication convergence engineering. 20:309-316
Publikováno v:
Journal of information and communication convergence engineering. 20:219-225
Autor:
Thanh-Nghi Do
Publikováno v:
International Journal of Web Information Systems. 18:137-155
Purpose This paper aims to propose the new incremental and parallel training algorithm of proximal support vector machines (Inc-Par-PSVM) tailored on the edge device (i.e. the Jetson Nano) to handle the large-scale ImageNet challenging problem. Desig
Autor:
Thanh-Nghi Doan, Chuong V. Nguyen
Publikováno v:
Information Processing in Agriculture, Vol 11, Iss 3, Pp 337-355 (2024)
Collections of biological specimens are essential in entomology laboratories for scientific knowledge and the characterization of natural varieties. It is vital to liberate useful information from physical collections by digitizing specimens, allowin
Externí odkaz:
https://doaj.org/article/5d315c5d9bb04f32843aca24689c5a53
Autor:
Ti-Hon Nguyen, Thanh-Nghi Do
Publikováno v:
Computer Networks and Inventive Communication Technologies ISBN: 9789811930348
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1f1af60bb843aea367133651909126e9
https://doi.org/10.1007/978-981-19-3035-5_37
https://doi.org/10.1007/978-981-19-3035-5_37
Autor:
Ti-Hon Nguyen, Thanh-Nghi Do
Publikováno v:
Advances and Trends in Artificial Intelligence. Theory and Practices in Artificial Intelligence ISBN: 9783031085291
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::224f51ad45f9e706e3534d70bfd94722
https://doi.org/10.1007/978-3-031-08530-7_62
https://doi.org/10.1007/978-3-031-08530-7_62
Publikováno v:
Lecture Notes in Networks and Systems ISBN: 9789811676178
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6caf17bfb00e4d931b53214a0a48ea0b
https://doi.org/10.1007/978-981-16-7618-5_39
https://doi.org/10.1007/978-981-16-7618-5_39