Zobrazeno 1 - 10
of 11 304
pro vyhledávání: '"Hyunsoo So"'
Autor:
Jae Joon Jeon, MD, You Hyun Kim, MD, Hyunjun Kang, Min Chul Ha, MD, Seung-Won Jung, MD, Hyunsoo Son, Myung Ha Kim, BA, Won-Soo Lee, MD, PhD, Solam Lee, MD, PhD
Publikováno v:
JAAD International, Vol 18, Iss , Pp 24-26 (2025)
Externí odkaz:
https://doaj.org/article/36fc5048dd27413088c55eb4b1a0d258
Autor:
Jinsung Park, Hyunsoo Soh, Sungsin Jo, Subin Weon, Seung Hoon Lee, Jeong-Ah Park, Myung-Kyu Lee, Tae-Hwan Kim, Il-Hoon Sung, Jin Kyu Lee
Publikováno v:
iScience, Vol 26, Iss 12, Pp 108521- (2023)
Summary: Anterior cruciate ligament (ACL) reconstruction is often performed using a tendon graft. However, the predominant synthesis of fibrotic scar tissue (type III collagen) occurs during the healing process of the tendon graft, resulting in a sig
Externí odkaz:
https://doaj.org/article/3ba63fa6a5104d57b610fef936467036
Autor:
Hyunsoo Song, Seungkyu Lee
Publikováno v:
IEEE Access, Vol 11, Pp 111566-111580 (2023)
Recently, 3D computer vision has greatly emerged and become essential topic in both research and industry applications. Yet large scale 3D benchmark like ImageNet is not available for many 3D computer vision tasks such as 3D object recognition, 3D bo
Externí odkaz:
https://doaj.org/article/254cf39418b14c3484a7a4ea4d40b499
Publikováno v:
Research and Review Journal of Nondestructive Testing, Vol 1, Iss 1 (2023)
Recently, record-breaking heatwaves due to global warming and abnormal weather have occurred in the summer, and sales and usage of air conditioners are rapidly increasing. Air conditioners are widely used all over the world and are recently expandi
Externí odkaz:
https://doaj.org/article/4e738dd923fd44029e9a7c73e4818228
We present a simple but effective training-free approach for text-driven image-to-image translation based on a pretrained text-to-image diffusion model. Our goal is to generate an image that aligns with the target task while preserving the structure
Externí odkaz:
http://arxiv.org/abs/2412.15798
Urban transportation networks are vital for the efficient movement of people and goods, necessitating effective traffic management and planning. An integral part of traffic management is understanding the turning movement counts (TMCs) at intersectio
Externí odkaz:
http://arxiv.org/abs/2412.09861
Creating high-quality, large-scale datasets for large language models (LLMs) often relies on resource-intensive, GPU-accelerated models for quality filtering, making the process time-consuming and costly. This dependence on GPUs limits accessibility
Externí odkaz:
http://arxiv.org/abs/2411.11289
Autor:
Kim, Hyunsoo
Recently, urban air mobility (UAM) has attracted attention as an emerging technology that will bring innovation to urban transportation and aviation systems. Since the UAM systems pursue fully autonomous flight without a pilot, wireless communication
Externí odkaz:
http://arxiv.org/abs/2410.17572
Autor:
Park, Chanjun, Ha, Hyunsoo, Kim, Jihoo, Kim, Yungi, Kim, Dahyun, Lee, Sukyung, Yang, Seonghoon
In this paper, we propose the 1 Trillion Token Platform (1TT Platform), a novel framework designed to facilitate efficient data sharing with a transparent and equitable profit-sharing mechanism. The platform fosters collaboration between data contrib
Externí odkaz:
http://arxiv.org/abs/2409.20149
We propose a data-driven viscosity solver based on U-shaped convolutional neural network to predict velocity changes due to viscosity. Our solver takes velocity derivatives, fluid volume, and solid indicator quantities as input. The traditional marke
Externí odkaz:
http://arxiv.org/abs/2409.14653