Conference
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2024 |
Real-time Pathogenic Cough Sound Classification using Deep Learning in Embedded Environments
윤정수
한국통신학회 종합 학술 발표회 (동계) 2024, pp.501-502 |
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Conference
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2023 |
Machine learning model for predicting ICU admission and death of pneumonia patients based on multimodal data
장서연
한국 인공지능 학술대회 2023, pp.289-290 |
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Conference
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2023 |
Machine Learning for the Prediction of Water Quality for Smart Aquaculture
Dae-Won Kim
International Conference on Maritime IT Convergence (ICMIC) 2023, pp.48-51 |
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Conference
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2022 |
Preliminary Study of Cough Classification Using Deep Learning
김대원
한국인터넷정보학회 학술 발표 대회 (춘계) 2022, pp.1-2 |
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Journal
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2021 |
Deep transfer learning for the classification of variable sources
Dae-Won Kim
Astronomy & Astrophysics, v.653, pp.1-16 |
5 |
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Journal
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2018 |
Detecting Variability in Massive Astronomical Time-series Data. III. Variable Candidates in the SuperWASP DR1 Found by Multiple Clustering Algorithms and a Consensus Clustering Method
Min-Su Shin
The Astronomical Journal, v.156, no.5, pp.1-21 |
6 |
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Conference
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2018 |
Machine Learning Approach to Initial Orbit Determination of Unknown LEO Satellites
Byoung-Sun Lee
International Conference on Space Operations (SpaceOps) 2018, pp.1-11 |
9 |
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