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Deep Neural Network-Based Landmark Selection Method for Optical Navigation on Lunar Highlands Lee, Hoonhee; Choi, Han-Lim; Jung, Dawoon; Choi, Sujin, IEEE ACCESS, v.8, pp.99010 - 99023, 2020-05 |
| Deep Neural Network-based Lumped Circuit Modeling using Impedance Curve Lho, Daehwan; Park, Hyunwook; Kim, Seongguk; Shin, Taein; Kim, Keunwoo; Son, Kyungjune; Kang, Hyungmin; et al, 2020 IEEE Electrical Design of Advanced Packaging and Systems, EDAPS 2020, Institute of Electrical and Electronics Engineers Inc., 2020-12 |
| Deep neural network-based phase calibration in integrated optical phased arrays Kim, Jae-Yong; Kim, Junhyeong; Yoon, Jinhyeong; Hong, Seokjin; Neseli, Berkay; Kwon, Nam-Hyun; You, Jong-Bum; et al, SCIENTIFIC REPORTS, v.13, no.1, pp.1 - 10, 2023-11 |
| Deep Neural Network-Based Precoder for Fairness Aware Secure NOMA Scheme Lee, Jinyoung; Yun, Sangseok; Kim, Il-Min; Ha, Jeongseok, IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, v.71, no.5, pp.5615 - 5620, 2022-05 |
| Deep neural network-based structural health monitoring technique for real-time crack detection and localization using strain gauge sensors Yoon, Jiyoung; Lee, Junhyeong; Kim, Giyoung; Ryu, Seunghwa; Park, Jinhyoung, SCIENTIFIC REPORTS, v.12, no.1, 2022-11 |
| Deep neural networks based anomaly detection models for aerospace system = 심층신경망 기반 항공우주시스템 이상진단모델 연구link Ahn, Hyojung; Choi, Han-Lim; et al, 한국과학기술원, 2020 |
| Deep neural networks for gas concentration estimation and the effect of hyperparameter optimization on the estimation performance Jang, Hee-Deok; Park, JaeHyeon; Nam, Hyunwoo; Chang, Dong Eui, 22nd International Conference on Control, Automation and Systems (ICCAS), Institute of Control, Robotics, and Systems (ICROS), 2022-11 |
| Deep neural networks incorporating discourse information for modeling text = 텍스트 모델링을 위한 담화 정보 기반의 심층 인공 신경망 연구link Lee, Kangwook; Myaeng, Sung Hyon; et al, 한국과학기술원, 2018 |
| Deep Neural Networks with Dependent Weights: Gaussian Process Mixture Limit, Heavy Tails, Sparsity and Compressibility Lee, Hoil; Ayed, Fadhel; Jung, Paul; Lee, Juho; Yang, Hongseok; Caron, Francois, JOURNAL OF MACHINE LEARNING RESEARCH, v.24, pp.1 - 78, 2023-09 |
| Deep nonnegative matrix factorization using a variational autoencoder with application to single-cell RNA sequencing data Jee, Dong Jun; Kong, Yixin; Chun, Hyonho, IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS, v.20, no.2, pp.883 - 893, 2023-03 |
| Deep nonnegative matrix factorization using a variational autoencoder with application to single-cell RNA sequencing data = 단일 세포 리보핵산 시퀀싱 데이터에 적용되는 변분 오토인코더를 사용한 심층 비음수 행렬 분해link Jee, Dong Jun; Chun, Hyonho; et al, 한국과학기술원, 2022 |
| Deep Objective Assessment Model Based on Spatio-Temporal Perception of 360-Degree Video for VR Sickness Prediction Lee, Sangmin; Kim, Kihyun; Kim, Hak Gu; Park, Minho; Ro, Yong Man, IEEE International Conference on Image Processing (ICIP) 2019, pp.3192 - 3196, IEEE Signal Processing Society, 2019-09-25 |
| Deep operator network for periodic signal problem with application to central blood pressure monitoring = 심층 연산자 네트워크를 활용한 주기적 신호 훈련 및 중심대동맥 압력 추정에 대한 적용link Min, Chang-Hee; 민창희; et al, 한국과학기술원, 2024 |
| Deep optical imaging within complex scattering media Yoon, Seokchan; Kim, Moonseok; Jang, Mooseok; Choi, Youngwoon; Choi, Wonjun; Kang, Sungsam; Choi, Wonshik, NATURE REVIEWS PHYSICS, v.2, no.3, pp.141 - 158, 2020-03 |
| Deep partial person re-identification via attention model Kim, Junyeong; Yoo, Chang-Dong, 2017 IEEE International Conference on Image Processing (ICIP), IEEE Signal Processing Society, 2017-09-18 |
| Deep Partial Person-Reidentification via Attention Model Kim, Junyeong; Yoo, Chang-Dong, IEEE International Conference on Image Processing, IEEE Signal Processing Society, 2017-09-18 |
| Deep Physiological Affect Network for the Recognition of Human Emotions Kim, Byung Hyung; Jo, Sungho, IEEE TRANSACTIONS ON AFFECTIVE COMPUTING, v.11, no.2, pp.230 - 243, 2020-04 |
| Deep Power Control: Transmit Power Control Scheme Based on Convolutional Neural Network Lee, Woong-Sup; Kim, Minhoe; Cho, Dong-Ho, IEEE COMMUNICATIONS LETTERS, v.22, no.6, pp.1276 - 1279, 2018-06 |
| Deep Predictive Video Compression Using Mode-Selective Uni- and Bi-Directional Predictions Based on Multi-Frame Hypothesis Park, Woonsung; Kim, Munchurl, IEEE ACCESS, v.9, pp.72 - 85, 2021-01 |
| Deep predictive video compression using mode-selective uni- and bi-directional predictions based on multi-frame hypothesis = 심층 신경망 기반 다중 프레임을 이용한 단방향 및 양방향 예측을 이용한 비디오 압축link Park, Woonsung; Kim, Munchurl; et al, 한국과학기술원, 2021 |
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