Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Nguyen Huu Phong"'
Publikováno v:
IEEE Access, Vol 10, Pp 89970-89988 (2022)
Convolutional Neural Networks (ConvNets or CNNs) have been candidly deployed in the scope of computer vision and related fields. Nevertheless, the dynamics of training of these neural networks lie still elusive: it is hard and computationally expensi
Externí odkaz:
https://doaj.org/article/cc97276425e94677b0a8ac604c2ea075
Autor:
Pydimarry, Sai Abhinav, Khairnar, Shekhar Madhav, Palacios, Sofia Garces, Sankaranarayanan, Ganesh, Hoagland, Darian, Nepomnayshy, Dmitry, Nguyen, Huu Phong
Publikováno v:
RECPAD 2024
In the field of pattern recognition, achieving high accuracy is essential. While training a model to recognize different complex images, it is vital to fine-tune the model to achieve the highest accuracy possible. One strategy for fine-tuning a model
Externí odkaz:
http://arxiv.org/abs/2410.06879
Publikováno v:
Plant Protection Science, Vol 52, Iss 1, Pp 10-17 (2016)
An isolate of Fusarium denominated as NHP-Fusa-2 from tea wilt and root-rot diseased sample collected in Vietnam was identified as Fusarium oxysporum based on molecular analysis of translation elongation factor-1α sequence. Interestingly, it is the
Externí odkaz:
https://doaj.org/article/48421ca58ff8486dba4754ce27fc462b
Autor:
Nguyen, Huu Phong1 (AUTHOR) phong@dei.uc.pt, Ribeiro, Bernardete1 (AUTHOR)
Publikováno v:
Scientific Reports. 11/20/2023, Vol. 13 Issue 1, p1-16. 16p.
Autor:
Nguyen Sinh Hien, Nguyen Huu Phong, Nguyen Minh Ngoc, Nguyen Dang Hung, Dinh Xuan Huy, Nguyen Thi Minh Phuong, Do Duc Trong
Publikováno v:
Tạp chí Phẫu thuật Tim mạch và Lồng ngực Việt Nam. 40:24-36
Objectives: the aim of this study was to describe the early outcomes after the extracardiac conduit Fontan procedure and evaluate predictive factors related to these results. Methods: a cross – sectional study. We retrospectively reviewed the perio
Autor:
Nguyen Sinh Hien, Nguyen Huu Phong, Nguyen Minh Ngoc, Do Duc Trong, Nguyen Hoang Ha, Nguyen Thai Minh, Nguyen Dang Hung, Le Quang Thien, Nguyen Thi Minh Phuong
Publikováno v:
Tạp chí Phẫu thuật Tim mạch và Lồng ngực Việt Nam. 40:14-23
Background: the Bentall procedure is one of the best options to deal with aortic root pathology. We retrospectively reviewed and evaluated the early and mid-term results of the Bentall procedure at Hanoi Heart Hospital. Methods: a longitudinal descri
Autor:
Nguyen Sinh Hien, Nguyen Huu Phong, Dao Quang Vinh, Nguyen Dang Hung, Dinh Xuan Huy, Nguyen Minh Ngoc, Do Duc Trong
Publikováno v:
Tạp chí Phẫu thuật Tim mạch và Lồng ngực Việt Nam. 39:37-46
Background: complete atrioventricular canal defect is a complex congenital heart disease. The current trend is to perform early complete repair to avoid the progression of pulmonary vascular disease and congestive heart failure. We sought to describe
Publikováno v:
Tạp chí Phẫu thuật Tim mạch và Lồng ngực Việt Nam. 35:124-137
Objective: to evaluate the short-term outcomes of surgical treatment of left-sided infective endocarditis (IE) in Hanoi Heart Hospital. Patients and Methods: A retrospective, cross-sectional and descriptive study on all patients underwent surgery for
Autor:
Nguyen Thai Minh, Le Quang Thien, Nguyen Sinh Hien, Nguyen Hoang Ha, Nguyen Dang Hung, Nguyen Huu Phong
Publikováno v:
Tạp chí Phẫu thuật Tim mạch và Lồng ngực Việt Nam. 35:138-149
Background: Stanford type A aortic dissection is a complex disease and a serious surgical emergency. The diagnosis is determined based on diagnostic imagines. Surgery is the mainstay of treatment, with high mortality and morbidity. This study aimed t
Autor:
Bernardete Ribeiro, Nguyen Huu Phong
Publikováno v:
Pattern Recognition and Image Analysis ISBN: 9783030313319
IbPRIA (1)
IbPRIA (1)
Capsule Networks face a critical problem in computer vision in the sense that the image background can challenge its performance, although they learn very well on training data. In this work, we propose to improve Capsule Networks’ architecture by
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::144c8955d32e972d9b493c0a54663f41
https://doi.org/10.1007/978-3-030-31332-6_45
https://doi.org/10.1007/978-3-030-31332-6_45