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of 5
pro vyhledávání: '"Hyungtak Lee"'
Publikováno v:
Sensors, Vol 23, Iss 1, p 157 (2022)
Generative adversarial network (GAN)-based data augmentation is used to enhance the performance of object detection models. It comprises two stages: training the GAN generator to learn the distribution of a small target dataset, and sampling data fro
Externí odkaz:
https://doaj.org/article/e2fd43fbe9f5426a9b1dad5a84c84f7a
Autor:
Luca Quagliato, Yonghee Kim, João Henrique Fonseca, Dosuck Han, Seungjong Yun, Hyungtak Lee, Nara Park, Hyungyil Lee, Naksoo Kim
Publikováno v:
Materials & Design, Vol 190, Iss , Pp - (2020)
Static and fatigue mechanical properties of a polyamide-6 reinforced with a 20% weight fraction of short carbon fibers (PA6-20CF) material were investigated by means of static and fatigue tensile tests on both unnotched and notched specimens. SEM pic
Externí odkaz:
https://doaj.org/article/b4f7c8dfb1644430a94a4ff886de1479
Publikováno v:
Materials
Volume 16
Issue 5
Pages: 1952
Volume 16
Issue 5
Pages: 1952
Carbon fiber-reinforced polymers (CFRP) have been actively employed as lightweight materials; yet, evaluating the material’s reliability under multi-axis stress states is still challenging owing to their anisotropic nature. This paper investigates
Publikováno v:
Sensors; Volume 23; Issue 1; Pages: 157
Generative adversarial network (GAN)-based data augmentation is used to enhance the performance of object detection models. It comprises two stages: training the GAN generator to learn the distribution of a small target dataset, and sampling data fro
Autor:
Hyung Tae Kim, Hyungtak Lee, Jieun Kim, Hyunjoo Pai, Ilwoong Sohn, Kang-Won Lee, Dong Chan Kim, Gilwoo Lee, Hyuck Kim
Publikováno v:
Infection and Chemotherapy. 42:415