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Joonki Hong
Joonki Hong
KAIST Ph.D candidate
kaist.ac.kr의 이메일 확인됨
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Towards the swift prediction of the remaining useful life of lithium-ion batteries with end-to-end deep learning
J Hong, D Lee, ER Jeong, Y Yi
Applied energy 278, 115646, 2020
472020
Accurate remaining range estimation for electric vehicles
J Hong, S Park, N Chang
2016 21st Asia and South Pacific Design Automation Conference (ASP-DAC), 781-786, 2016
472016
Deep learning approaches to detect atrial fibrillation using photoplethysmographic signals: algorithms development study
S Kwon, J Hong, EK Choi, E Lee, DE Hostallero, WJ Kang, B Lee, ...
JMIR mHealth and uHealth 7 (6), e12770, 2019
452019
Detection of atrial fibrillation using a ring-type wearable device (CardioTracker) and deep learning analysis of photoplethysmography signals: prospective observational proof …
S Kwon, J Hong, EK Choi, B Lee, C Baik, E Lee, ER Jeong, BK Koo, S Oh, ...
Journal of Medical Internet Research 22 (5), e16443, 2020
292020
Parameterized slot scheduling for adaptive and autonomous TSCH networks
J Jung, D Kim, J Hong, J Kang, Y Yi
IEEE INFOCOM 2018-IEEE Conference on Computer Communications Workshops …, 2018
142018
Minimum-energy driving speed profiles for low-speed electric vehicles
D Baek, J Hong, N Chang
2016 21st Asia and South Pacific Design Automation Conference (ASP-DAC), 435-435, 2016
52016
On self-configuring IoT with dual radios: A cross-layer approach
J Jung, J Hong, Y Yi
IEEE Transactions on Mobile Computing, 2021
22021
End-to-End Sleep Staging Using Nocturnal Sounds from Microphone Chips for Mobile Devices
J Hong, HH Tran, J Jung, H Jang, D Lee, IY Yoon, JK Hong, JW Kim
Nature and Science of Sleep 14, 1187-1201, 2022
2022
Confidence-Based Framework Using Deep Learning for Automated Sleep Stage Scoring
JK Hong, T Lee, RDD Reyes, J Hong, HH Tran, D Lee, J Jung, IY Yoon
Nature and Science of Sleep 13, 2239, 2021
2021
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