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Akademický článek

In situ fabrication of spherical oxide dispersion strengthened Ti powder through gas atomization

Autor: Hyeon-Tae Im, Woo Jin Kim, Nam-Seok Kim, Dae Ha Kim, Chang-Soo Park, Kwangsuk Park, Young Do Kim, Hyung-Ki Park

Publikováno v: Journal of Materials Research and Technology, Vol 24, Iss , Pp 8348-8356 (2023)

Oxide dispersion strengthened (ODS) alloys exhibit excellent mechanical properties due to fine oxide dispersion, but they have great limitations due to utilizing powder fabrication via mechanical alloying. Therefore, this study examined the alloy com

Externí odkaz: https://doaj.org/article/b224084ea68041638978ceb4a4fbdeb5

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Akademický článek

Probabilistic Principal Geodesic Deep Metric Learning

Autor: Dae Ha Kim, Byung Cheol Song

Publikováno v: IEEE Access, Vol 10, Pp 7439-7459 (2022)

Similarity learning which is useful for the purpose of comparing various characteristics of images in the computer vision field has been often applied for deep metric learning (DML). Also, a lot of combinations of pairwise similarity metrics such as

Externí odkaz: https://doaj.org/article/88bc23efd1e640f2affb6f0acaa11c37

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Akademický článek

Metric-Based Attention Feature Learning for Video Action Recognition

Autor: Dae Ha Kim, Fazliddin Anvarov, Jun Min Lee, Byung Cheol Song

Publikováno v: IEEE Access, Vol 9, Pp 39218-39228 (2021)

Conventional approaches for video action recognition were designed to learn feature maps using 3D convolutional neural networks (CNNs). For better action recognition, they trained the large-scale video datasets with the representation power of 3D CNN

Externí odkaz: https://doaj.org/article/50e357709f74437d8d776588c8b16207

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Akademický článek

Focal Bone Marrow Lesions: A Complication of Ultrasound Diathermy

Autor: Seung Jae J. Kim, Yusuhn Kang, Dae Ha Kim, Jae Young Lim, Joo Hyun Park, Joo Han Oh

Publikováno v: Clinics in Shoulder and Elbow, Vol 22, Iss 1, Pp 40-45 (2019)

Ultrasound diathermy is widely used for the treatment of musculoskeletal disorders and other soft tissue injuries. Its use as a therapeutic modality is believed to be safe, with very few reported complications. Here, we report two patients who develo

Externí odkaz: https://doaj.org/article/e1fc6da8efc8446fb3e387cbe88e4a7f

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Akademický článek

Visual Scene-Aware Hybrid and Multi-Modal Feature Aggregation for Facial Expression Recognition

Autor: Min Kyu Lee, Dae Ha Kim, Byung Cheol Song

Publikováno v: Sensors, Vol 20, Iss 18, p 5184 (2020)

Facial expression recognition (FER) technology has made considerable progress with the rapid development of deep learning. However, conventional FER techniques are mainly designed and trained for videos that are artificially acquired in a limited env

Externí odkaz: https://doaj.org/article/eeb304802a984712aa7b9aa2b2e78eeb

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