Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Haiyan Lai"'
Publikováno v:
BMC Oral Health, Vol 22, Iss 1, Pp 1-9 (2022)
Abstract Background To evaluate and compare the clinical outcomes of digitally prefabricated and conventionally fabricated implant-supported full-arch provisional prostheses. Methods In this retrospective study, a total of 39 patients (22 males and 1
Externí odkaz:
https://doaj.org/article/ab93006733ff4e4f80f767161a5b95be
Publikováno v:
The Journal of prosthetic dentistry. 128(5)
Guided bone regeneration (GBR) is widely used to reconstruct peri-implant bone defects in the esthetic zone. However, the dimensional stability of this bone-biomaterial composite is not fully understood.The primary aim was to evaluate the hard tissue
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::37fa5aa18f7b05a09d3f2c8972d60164
https://pubmed.ncbi.nlm.nih.gov/33795161
https://pubmed.ncbi.nlm.nih.gov/33795161
Autor:
Wang Yong, Guan Ming, Yichen Luo, Lei Zhai, Zhenbing Liu, Haiyan Lai, Huihua Yang, Lingqiao Li
Publikováno v:
Journal of Software. 8
An efficient vehicle model recognition method based on Adaptive Harris corner detector is presented in this paper. First, the vehicle radiator grid is selected as ROI and Harris corner detection is used to detect corner as vehicle model features, to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::21e3bb264cf4b6bdde9cff0852c876f8
https://doi.org/10.4304/jsw.8.8.1952-1959
https://doi.org/10.4304/jsw.8.8.1952-1959
Autor:
Lingqiao Li, Huihua Yang, Guan Ming, Lei Zhai, Haiyan Lai, Zhenbing Liu, Yichen Luo, Wang Yong
Publikováno v:
2013 International Conference on Computational and Information Sciences.
A novel method is proposed for efficient vehicle model identification. Considering logo recognition vital, the method begins with the development of an algorithm based on image gradients for initial or coarse positioning of vehicle logo, then proceed
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cf819bb3f85c882e23ba617166f257b7
https://doi.org/10.1109/iccis.2013.287
https://doi.org/10.1109/iccis.2013.287