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| 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 |
| Deep Pyramidal Residual Networks Kim, Jiwhan; Han, Dongyoon; Kim, Junmo, 30th IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp.6307 - 6315, IEEE Computer Society and the Computer Vision Foundation (CVF), 2017-07-25 |
| Deep Q Learning with LSTM for Traffic Light Control Choe, Chung jae; Baek, Seung ho; Woon, Bong Young; Kong, Seung-Hyun, 24th Asia-Pacific Conference on Communications, APCC 2018, pp.331 - 336, APCC, 2018-11-13 |
| Deep recursive segmentation networks = 심층 제귀 영역 분할 신경망link Pan, Fei; Yoo, Chang Dong; et al, 한국과학기술원, 2018 |
| Deep Red Phosphorescence of Cyclometalated Iridium Complexes by o-Carborane Substitution Bae, Hye Jin; Chung, Jin; Kim, Hyungjun; Park, Jihyun; Lee, Kang-Mun; Koh, Tae-Wook; Lee, Yoon Sup; et al, INORGANIC CHEMISTRY, v.53, no.1, pp.128 - 138, 2014-01 |
| Deep Regression Network-Assisted Efficient Streamline Generation Method Lee, Joong-Youn; Park, Jinah, IEEE ACCESS, v.9, pp.111704 - 111717, 2021-07 |
| Deep Reinforcement Learning based Autonomous Air-to-Air Combat using Target Trajectory Prediction Yoo, Jaewoong; Kim, Donghwi; Shim, David Hyunchul, 21st International Conference on Control, Automation and Systems, ICCAS 2021, pp.2172 - 2176, IEEE Computer Society, 2021-10 |
| Deep reinforcement learning based autonomous driving with expert demonstrations = 전문가의 시연에 의해 유도된 탐험을 통한 심층 강화 학습 기반 자율주행link Jang, Yoonha; Shim, Hyunchul; et al, 한국과학기술원, 2022 |
| Deep reinforcement learning based finite-horizon optimal control for a discrete-time affine nonlinear system Kim, Jong Woo; Park, Byung Jun; Yoo, Haeun; Lee, Jay Hyung; Lee, Jong Min, 57th Annual Conference of the Society of Instrument and Control Engineers of Japan (SICE), pp.567 - 572, IEEE, 2018-09 |
| Deep reinforcement learning based finite-horizon optimal tracking control for nonlinear system Kim, Jong Woo; Park, Byung Jun; Yoo, Haeun; Lee, Jay Hyung; Lee, Jong Min, Joint Meeting of the 2nd IFAC Workshop on Linear Parameter Varying Systems (LPVS) / 9th IFAC Symposium on Robust Control Design (ROCOND), pp.257 - 262, Elsevier BV, 2018-09 |
| Deep reinforcement learning based heuristic DNA sequence alignment algorithm = 심층 강화 학습 기반 휴리스틱 염기서열 정렬 알고리즘link Song, Yongjoon; Cho, Dongho; et al, 한국과학기술원, 2021 |
| Deep reinforcement learning based multi-autonomous vehicle control = 딥 강화학습 기반 다중 자율주행 차량 제어link Lee, Jaeyun; Jang, Ki Tae; et al, 한국과학기술원, 2018 |
| Deep reinforcement learning based robot arm manipulation with efficient training data through simulation Xing, Xiaowei; Chang, Dong Eui, 19th International Conference on Control, Automation and Systems (ICCAS), ICROS, 2019-10 |
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