Conference
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2023 |
Deep Nose project: A Study of Multidimensional Multimodal Olfactory Intelligence System for Ultra-Trace Gas Component Detection
Yongwon Jang
IEEE Sensors 2023, pp.1-4 |
0 |
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Journal
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2023 |
A selective feature optimized multi-sensor based e-nose system detecting illegal drugs validated in diverse laboratory conditions
Hyung Wook Noh
Sensors and Actuators, B: Chemical, v.390, pp.1-10 |
7 |
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Journal
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2022 |
Classifying Gas Data Measured Under Multiple Conditions Using Deep Learning
Hojung Lee
IEEE Access, v.10, pp.68138-68150 |
2 |
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Conference
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2019 |
Medical Time-series Prediction With LSTM-MDN-ATTN
Hwin Dol Park
International Conference on Information and Communication Technology Convergence (ICTC) 2019, pp.1359-1361 |
1 |
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Conference
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2018 |
A novel missing value representation method using Autoencoder
한영웅
한국통신학회 종합 학술 발표회 (추계) 2018, pp.575-576 |
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Conference
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2018 |
Frequency-Aware Attention based LSTM Networks for Cardiovascular Disease
Hwin Dol Park
International Conference on Information and Communication Technology Convergence (ICTC) 2018, pp.1503-1505 |
12 |
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Conference
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2017 |
Prediction of left ventricular ejection fraction using time-series deep learning of EMR
한영웅
한국디지털콘텐츠학회/한국정보기술학회 공동 학술 발표 대회 2017, pp.199-200 |
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Conference
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2017 |
Generating Artificial Blood Pressure Data using GAN(Generative Adversarial Network)
정호열
한국디지털콘텐츠학회/한국정보기술학회 공동 학술 발표 대회 2017, pp.201-202 |
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Conference
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2017 |
An ensemble prediction of health records using a deep learning method
임명은
한국디지털콘텐츠학회/한국정보기술학회 공동 학술 발표 대회 2017, pp.197-198 |
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