Výsledky vyhledávání - "Choi, Junggu"

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Early-stage detection of cognitive impairment by hybrid quantum-classical algorithm using resting-state functional MRI time-series

Autor: Choi, Junggu, Hur, Tak, Park, Daniel K., Shin, Na-Young, Lee, Seung-Koo, Lee, Hakbae, Han, Sanghoon

Following the recent development of quantum machine learning techniques, the literature has reported several quantum machine learning algorithms for disease detection. This study explores the application of a hybrid quantum-classical algorithm for cl

Externí odkaz: http://arxiv.org/abs/2405.01554

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Deep Learning Approach for Imputation of Missing Values in Actigraphy Data: Algorithm Development Study

Autor: Jang, Jong-Hwan, Choi, Junggu, Roh, Hyun Woong, Son, Sang Joon, Hong, Chang Hyung, Kim, Eun Young, Kim, Tae Young, Yoon, Dukyong

Publikováno v: JMIR mHealth and uHealth, Vol 8, Iss 7, p e16113 (2020)

BackgroundData collected by an actigraphy device worn on the wrist or waist can provide objective measurements for studies related to physical activity; however, some data may contain intervals where values are missing. In previous studies, statistic

Externí odkaz: https://doaj.org/article/c7ff85c6fb74417188dcd1b07857c436

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Association between Prefrontal fNIRS signals during Cognitive tasks and College scholastic ability test (CSAT) scores: Analysis using a quantum annealing approach

Autor: Kim, Yeaju, Choi, Junggu, Kim, Bora, Park, Yongwan, Cha, Jihyun, Choi, Jongkwan, Han, Sanghoon

Academic achievement is a critical measure of intellectual ability, prompting extensive research into cognitive tasks as potential predictors. Neuroimaging technologies, such as functional near-infrared spectroscopy (fNIRS), offer insights into brain

Externí odkaz: http://arxiv.org/abs/2402.04287

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Investigation of factors regarding the effects of COVID-19 pandemic on college students' depression by quantum annealer

Autor: Choi, Junggu, Kim, Kion, Park, Soohyun, Hur, Juyoen, Yang, Hyunjung, Kim, Younghoon, Lee, Hakbae, Han, Sanghoon

Diverse cases regarding the impact, with its related factors, of the COVID-19 pandemic on mental health have been reported in previous studies. College student groups have been frequently selected as the target population in previous studies because

Externí odkaz: http://arxiv.org/abs/2310.00018

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Interpretable Fusion Analytics Framework for fMRI Connectivity: Self-Attention Mechanism and Latent Space Item-Response Model

Autor: Kim, Jeong-Jae, Jeon, Yeseul, Yu, SuMin, Choi, Junggu, Han, Sanghoon

There have been several attempts to use deep learning based on brain fMRI signals to classify cognitive impairment diseases. However, deep learning is a hidden black box model that makes it difficult to interpret the process of classification. To add

Externí odkaz: http://arxiv.org/abs/2207.01581

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Akademický článek

Investigating the relationship between CSAT scores and prefrontal fNIRS signals during cognitive tasks using a quantum annealing algorithm.

Autor: Kim, Yeaju¹, Choi, Junggu¹, Kim, Bora², Park, Yongwan³, Cha, Jihyun⁴, Choi, Jongkwan⁴, Han, Sanghoon^1,5 sanghoon.han@yonsei.ac.kr

Publikováno v: Scientific Reports. 8/26/2024, Vol. 14 Issue 1, p1-18. 18p.

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Investigation of factors regarding the effects of COVID-19 pandemic on college students' depression by quantum annealer.

Autor: Choi, Junggu¹ (AUTHOR), Kim, Kion² (AUTHOR), Park, Soo Hyun³ (AUTHOR), Hur, Juyoen³ (AUTHOR), Yang, Hyunjung⁴ (AUTHOR), Kim, Young-Hoon³ (AUTHOR), Lee, Hakbae^5,6 (AUTHOR), Han, Sanghoon^1,3 (AUTHOR) sanghoon.han@yonsei.ac.kr

Publikováno v: Scientific Reports. 2/27/2024, Vol. 14 Issue 1, p1-9. 9p.

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