Journal
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2024 |
A Novel Approach for Application Classification with Encrypted Traffic using BERT and Packet Headers
Jaehak Yu
Computer Networks, v.254, pp.1-12 |
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Journal
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2023 |
Trends of Encrypted Network Traffic Analysis Technologies for Network Anomaly Detection
최양서
전자통신동향분석, v.38, no.5, pp.71-80 |
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Journal
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2022 |
Technological Trends in Intelligent Cyber Range
유재학
전자통신동향분석, v.37, no.4, pp.36-45 |
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Conference
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2022 |
정보보호 분야에서의 사이버 레인지 기술 동향
유재학
한국정보처리학회 학술 발표 대회 (춘계) 2022, pp.208-211 |
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Journal
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2022 |
AI-Based Stroke Disease Prediction System Using ECG and PPG Bio-Signals
Jaehak Yu
IEEE Access, v.10, pp.43623-43638 |
42 |
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Journal
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2022 |
AI-based Stroke Prediction System Using Body Motion Biosignals during Walking
Jaehak Yu
Journal of Supercomputing, v.78, no.6, pp.8867-8889 |
5 |
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Conference
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2021 |
Stroke Medical Ontology QA System for Processing Medical Queries in Natural Language Form
Soonhyun Kwon
International Conference on Information and Communication Technology Convergence (ICTC) 2021, pp.1649-1654 |
3 |
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Journal
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2021 |
Comparison Analysis of Foot Pressure Characteristics during Walking in Stroke and Normal Elderly
정남교
Journal of Platform Technology, v.9, no.3, pp.36-43 |
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Conference
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2021 |
Automatic Stroke Medical Ontology Augmentation with Standard Medical Terminology and Unstructured Textual Medical Knowledge
SoonHyun Kwon
International Conference on Platform Technology and Service (PlatCon) 2021, pp.19-23 |
3 |
|
Conference
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2021 |
Design and Implementation of Real-time Bio Signals Management System based on HL7 FHIR for Healthcare Services
Jaehak Yu
International Conference on Platform Technology and Service (PlatCon) 2021, pp.24-29 |
2 |
|
Conference
|
2021 |
Comparison Analysis of Foot Pressure Characteristics During Walking in Stroke and Normal Elderly
정남교
ICT플랫폼학회 학술 대회 (하계) 2021, pp.23-26 |
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Conference
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2021 |
Stroke Medical Ontology for Supporting AI-based Stroke Prediction System using Bio-Signals
SoonHyun Kwon
International Conference on Ubiquitous and Future Networks (ICUFN) 2021, pp.53-59 |
6 |
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Journal
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2021 |
Deep Learning-Based Stroke Disease Prediction System Using Real-Time Bio Signals
Yoon-A Choi
Sensors, v.21, no.13, pp.1-17 |
69 |
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Journal
|
2021 |
Design and Implementation of Medical Knowledge Convergence System for Disease Prediction Services
권순현
정보과학회 컴퓨팅의 실제 논문지, v.27, no.7, pp.338-352 |
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Journal
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2021 |
Machine-Learning-Based Elderly Stroke Monitoring System Using Electroencephalography Vital Signals
Yoon-A Choi
Applied Sciences, v.11, no.4, pp.1-18 |
27 |
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Journal
|
2020 |
AI-based Stroke Disease Prediction System Using Real-Time Electromyography Signals
Jaehak Yu
Applied Sciences, v.10, no.19, pp.1-19 |
54 |
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Journal
|
2020 |
An Elderly Health Monitoring System Using Machine Learning and In-Depth Analysis Techniques on the NIH Stroke Scale
Jaehak Yu
Mathematics, v.8, no.7, pp.1-16 |
30 |
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Journal
|
2020 |
Stroke Disease Prediction based on Deep Learning using the Elderly Cohort DB
유재학
디지털콘텐츠학회논문지, v.21, no.6, pp.1191-1200 |
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Conference
|
2019 |
Security Issues in Healthcare Service using EMR and Vital Signals
Jaehak Yu
International Conference on Digital Contents (DigiCon) 2019, pp.30-33 |
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Conference
|
2019 |
머신러닝 기법을 이용한 NIHSS의 의미적 분석
Jaehak Yu
International Conference on Platform Technology and Service (PlatCon) 2019, pp.82-86 |
13 |
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Conference
|
2018 |
Security and Privacy Issues for Healthcare Service in the IoE Environment
Jaehak Yu
International Conference on Digital Contents (DigiCon) 2018, pp.75-77 |
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