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Akademický článek

Protein transfer learning improves identification of heat shock protein families.

Autor: Seonwoo Min, HyunGi Kim, Byunghan Lee, Sungroh Yoon

Publikováno v: PLoS ONE, Vol 16, Iss 5, p e0251865 (2021)

Heat shock proteins (HSPs) play a pivotal role as molecular chaperones against unfavorable conditions. Although HSPs are of great importance, their computational identification remains a significant challenge. Previous studies have two major limitati

Externí odkaz: https://doaj.org/article/036c675004f24100bed89d887be12ea8

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Improving generalization performance of electrocardiogram classification models

Autor: Hyeongrok Han, Seongjae Park, Seonwoo Min, Eunji Kim, HyunGi Kim, Sangha Park, Jin-Kook Kim, Junsang Park, Junho An, Kwanglo Lee, Wonsun Jeong, Sangil Chon, Kwon-Woo Ha, Myungkyu Han, Hyun-Soo Choi, Sungroh Yoon

Publikováno v: Physiological Measurement. 44:054003

Objective. Recently, many electrocardiogram (ECG) classification algorithms using deep learning have been proposed. Because the ECG characteristics vary across datasets owing to variations in factors such as recorded hospitals and the race of partici

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::b91b16a662da09d9edb657d1b08e2985
https://doi.org/10.1088/1361-6579/acb30f

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Full Color Tunable Aggregation-Induced Emission Luminogen for Bioimaging Based on an Indolizine Molecular Framework

Autor: Junsik Min, Hyungi Kim, Jong H. Kim, Wook Kim, Jin-Hong Seok, Jungi Rho, Sanghee Lee, O-Pil Kwon, Woojin Yoon, Eunha Kim, Sang Eun Yoon, Sang-Kee Choi, Hoseop Yun

Publikováno v: Bioconjugate Chemistry. 31:2522-2532

By taking advantage of a unique mechanism of aggregation-induced emission (AIE) phenomena, AIE luminogens (AIEgens) have been provided as a solution to overcome the limitations of conventional fluorophores bearing the feature of aggregation-caused qu

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d192e3d0c9adffd910b16711043b1587
https://doi.org/10.1021/acs.bioconjchem.0c00467

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Determining star formation rates of active galactic nuclei host galaxies based on SED fitting with sub-mm data

Autor: Changseok Kim, Jong-Hak Woo, Yashashree Jadhav, Aeree Chung, Junhyun Baek, Jeong Ae Lee, Jaejin Shin, Ho Seong Hwang, Rongxin Luo, Donghoon Son, HyunGi Kim, Hyuk Woo

We present the star formation rate (SFR) measurements based on the spectral energy distribution (SED) analysis with new sub-mm fluxes combined with archival multi-wavelength data for a sample of 52 AGN host galaxies at z $
Comment: Accepted for

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6b1e886891b0e3c6160d1496d5282818
http://arxiv.org/abs/2202.10044

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Vehicle Trajectory Prediction with Convolutional Neural Network and Sequence-to-Sequence

Autor: Hyungi Kim, David Hyunchul Shim

Publikováno v: Lecture Notes in Mechanical Engineering ISBN: 9789811648021

For autonomous vehicles to drive safely, it is crucial to predict motion of other vehicles as well as to detect. The motion of the vehicle is affected by the location of other vehicles, road environments, and vehicle dynamics. In this paper, we propo

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::3b86c56505f653fdbe9a47f8012c6cf3
https://doi.org/10.1007/978-981-16-4803-8_13

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