Výsledky vyhledávání - "Jun Yeong, Kim"

Akademický článek

Isoline Tracking in Particle-Based Fluids Using Level-Set Learning Representation

Autor: Jun Yeong Kim, Chang Geun Song, Jung Lee, Jong-Hyun Kim, Jong Wan Lee, Sun-Jeong Kim

Publikováno v: Applied Sciences, Vol 14, Iss 6, p 2644 (2024)

In this paper, we propose a learning model for tracking the isolines of fluid based on the physical properties of particles in particle-based fluid simulations. Our method involves analyzing which weights, closely related to surface tracking among th

Externí odkaz: https://doaj.org/article/9d958988dc114ba79a2b352cdfde741f

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Akademický článek

RoBERTa-CoA: RoBERTa-Based Effective Finetuning Method Using Co-Attention

Autor: Jeong-Hoon Kim, Sung-Wook Park, Jun-Yeong Kim, Jun Park, Se-Hoon Jung, Chun-Bo Sim

Publikováno v: IEEE Access, Vol 11, Pp 120292-120303 (2023)

In the field of natural language processing, artificial intelligence (AI) technology has been utilized to solve various problems, such as text classification, similarity measurement, chatbots, machine translation, and machine reading comprehension. S

Externí odkaz: https://doaj.org/article/c8f5febadd1d41379c2be43568632b7d

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Akademický článek

CA-CMT: Coordinate Attention for Optimizing CMT Networks

Autor: Ji-Hyeon Bang, Sung-Wook Park, Jun-Yeong Kim, Jun Park, Jun-Ho Huh, Se-Hoon Jung, Chun-Bo Sim

Publikováno v: IEEE Access, Vol 11, Pp 76691-76702 (2023)

Vision Transformer (ViT) has been proposed as a new image recognition method in the field of computer vision. ViT applies a Transformer structure with excellent performance in the field of natural language processing to recognize images. Unlike exist

Externí odkaz: https://doaj.org/article/2165447041b148b8b574e6d058d91a3a

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Akademický článek

Stability of Zr-Based UiO-66 Metal–Organic Frameworks in Basic Solutions

Autor: Jun Yeong Kim, Jiwon Kang, Seungheon Cha, Haein Kim, Dopil Kim, Houng Kang, Isaac Choi, Min Kim

Publikováno v: Nanomaterials, Vol 14, Iss 1, p 110 (2024)

Although Zr-based metal–organic frameworks (MOFs) exhibit robust chemical and physical stability in the presence of moisture and acidic conditions, their susceptibility to nucleophilic attacks from bases poses a critical challenge to their overall

Externí odkaz: https://doaj.org/article/9a91965c7199428c81a22b795c2b942b

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Akademický článek

Enhanced intracellular uptake and stability of umbelliferone in compound mixtures from Angelica gigas in vitro

Autor: Yoon Young Kang, Jun Yeong Kim, Jihyeon Song, Hyejung Mok

Publikováno v: Journal of Pharmacological Sciences, Vol 140, Iss 1, Pp 8-13 (2019)

Understanding how natural compounds work together for disease treatments can improve their clinical efficacy and therapeutic effects. To elucidate the mechanisms of synergistic biological effects in natural compound mixtures, umbelliferone (UMB, 7-hy

Externí odkaz: https://doaj.org/article/c286caf977454d9fa4b0b2010aac5e25

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