Zobrazeno 1 - 6
of 6
pro vyhledávání: '"See Pheng Hang"'
Autor:
Miew Leng Oh, See Pheng Hang
Publikováno v:
International Journal of Analysis and Applications, Vol 21, Pp 12-12 (2023)
Finite cloud method (FCM) employs the fixed kernel reproducing technique to construct the interpolation function and point collocation approach is adopted for the discretization. In this study, an improved FCM is proposed such that a node of interest
Externí odkaz:
https://doaj.org/article/76e62af25eb741ccad58fd1096c0b5ef
Publikováno v:
International Journal of Emerging Technologies in Learning (iJET), Vol 16, Iss 15, Pp 16-30 (2021)
E-learning is useful to help students gaining digital and data literacy during their studies particularly in the era of Industrial Revolution 4.0 (IR 4.0). E-learning which is characterized by time and place flexibility should be utilized as a tool f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1cdc7918344d0d120a50ec46a74c0770
https://online-journals.org/index.php/i-jet/article/view/23925
https://online-journals.org/index.php/i-jet/article/view/23925
Publikováno v:
International Journal of Electronic Commerce Studies; 2023, Vol. 14 Issue 1, p25-56, 32p
Publikováno v:
International Journal of Academic Research in Business and Social Sciences. 11
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bac0f0af4c1f2b4201d7f9c22711c881
https://doi.org/10.6007/ijarbss/v11-i7/10468
https://doi.org/10.6007/ijarbss/v11-i7/10468
Publikováno v:
International Journal of Emerging Technologies in Learning; 2021, Vol. 16 Issue 15, p16-30, 15p
Publikováno v:
SoCPaR
We proposed a pixel-based machine learning algorithm in the training of artificial immune recognition system (AIRS) to detect lung lesions in two-dimensional computed tomography (CT) scans. AIRS is an immune based algorithm which inspired by several
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::903991a1722659bf392da98b72571f50
https://doi.org/10.1109/socpar.2013.7054115
https://doi.org/10.1109/socpar.2013.7054115