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| Deep Reinforcement Learning-based through Silicon Via (TSV) Array Design Optimization Method considering Crosstalk Kim, Keunwoo; Park, Hyunwook; Lho, Daehwan; Kim, Minsu; Son, Keeyoung; Son, Kyungjune; Kim, Seongguk; et al, 2020 IEEE Electrical Design of Advanced Packaging and Systems, EDAPS 2020, Institute of Electrical and Electronics Engineers Inc., 2020-12 |
| Deep reinforcement learning-based through silicon via (TSV) array design optimization method for high bandwidth-memory (HBM) considering signal integrity (SI) = 신호무결성(SI)을 고려한 심층 강화학습 기반의 고대역폭 메모리(HBM)를 위한 TSV 배열 최적화 방법론link Kim, Keunwoo; Kim, Joungho; et al, 한국과학기술원, 2021 |
| Deep Representation Learning With Sample Generation and Augmented Attention Module for Imbalanced ECG Classification Zubair, Muhammad; Woo, Sungpil; Lim, Sunhwan; Kim, Daeyoung, IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, v.28, no.5, pp.2461 - 2472, 2024-05 |
| Deep representation of industrial components using simulated images Kim, Seong-Heum; Choe, Gyeongmin; Ahn, Byungtae; Kweon, In-So, 2017 IEEE International Conference on Robotics and Automation, ICRA 2017, pp.2003 - 2010, IEEE Robotics and Automation Society, 2017-07 |
| Deep Residual Learning Approach for Sparse-view CT Reconstruction Han, Yoseob; Ye, Jong Chul, Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine, Fully3D conference organization, 2017-06 |
| Deep Residual Learning for Accelerated MRI Using Magnitude and Phase Networks Lee, Dongwook; Yoo, Jaejun; Tak, Sungho; Ye, Jong Chul, IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, v.65, no.9, pp.1985 - 1995, 2018-09 |
| Deep residual learning for compressed sensing MRI Lee, Dongwook; Yoo, Jaejun; Ye, Jong Chul, The IEEE International Symposium on Biomedical Imaging , IEEE, 2017-04 |
| Deep residual neural network for predicting aerodynamic coefficient changes with ablation Lee, Dong Ho; Lee, DongUk; Han, Seoeum; Seo, Seongil; Lee, Bok Jik; Ahn, Jaemyung, AEROSPACE SCIENCE AND TECHNOLOGY, v.136, 2023-05 |
| Deep Retrosynthetic Reaction Prediction using Local Reactivity and Global Attention Chen, Shuan; Jung, Yousung, JACS AU, v.1, no.10, pp.1612 - 1620, 2021-08 |
| Deep robust face state estimation for intelligent systems = 지능형 시스템을 위한 강인한 얼굴 정보 시각 인지 방법link Ahn, Byungtae; Kweon, In So; et al, 한국과학기술원, 2018 |
| Deep saliency with encoded low level distance map and high level features = 저레벨 차이 맵과 CNN의 고레벨 성분을 이용한 핵심 영역 검출link Gayoung, Lee; 이가영; et al, 한국과학기술원, 2016 |
| Deep Saliency With Encoded Low Level Distance Map and High Level Features. Lee, Gayoung; Tai, Yu Wing; Kim, Junmo, CVPR 2016 IEEE Conference on Computer Vision and Pattern Recognition, IEEE Computer Society and the Computer Vision Foundation (CVF), 2016-06-27 |
Deep Scanning-Beam Selection Based on Deep Reinforcement Learning in Massive MIMO Wireless Communication System Kim, Minhoe; Lee, Woongsup; Cho, Dong-Ho, ELECTRONICS, v.9, no.11, 2020-11 |
| Deep Self-Supervised Diversity Promoting Learning on Hierarchical Hyperspheres for Regularization Kim, Youngsung; Hyun, Yoonsuk; Han, Jae-Joon; Yang, Eunho; Hwang, Sung Ju; Shin, Jinwoo, IEEE ACCESS, v.11, pp.146208 - 146222, 2023-12 |
| Deep semantic visual embeddings with spatial relationships = 공간적 위치 관계성을 고려한 의미론적 시각 임베딩link Yoon, Wonjun; Kim, Dae-Shik; et al, 한국과학기술원, 2019 |
| Deep shape optimization with limited dataset: leveraging implicit neural representation = 소량 데이터를 활용한 음함수 표현 형상 최적화link Kwon, Yongmin; 권용민; et al, 한국과학기술원, 2024 |
| Deep single-cell RNA-seq data clustering with graph prototypical contrastive learning = 그래프 프로토타입 대조 심층 학습을 이용한 단일 세포 시퀀싱 데이터 군집화link Lee, Junseok; Park, Chanyoung; et al, 한국과학기술원, 2023 |
| Deep single-cell RNA-seq data clustering with graph prototypical contrastive learning Lee, Junseok; Kim, Sungwon; Hyun, Dongmin; Lee, Namkyeong; Kim, Yejin; Park, Chanyoung, BIOINFORMATICS, v.39, no.6, 2023-06 |
| Deep Spectral Blending Network for Color Bleeding Reduction in Pan-sharpening Images Kim, Hyun-Ho; Kim, Munchurl, IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, v.62, 2024-03 |
| Deep Spiral Convolution Neural Network: A Fully End-to-End Texture Enhanced Multi-scale Super-Resolution Network Park, Sang Hyuk; PARK, HYOUNG WOO; Yoo, Chang-Dong, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), IEEE Computer Society and the Computer Vision Foundation (CVF), 2018-06-20 |
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