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Showing results 56181 to 56200 of 276645

56181
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

56182
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

56183
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

56184
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

56185
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

56186
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

56187
Deep semantic visual embeddings with spatial relationships = 공간적 위치 관계성을 고려한 의미론적 시각 임베딩link

Yoon, Wonjun; Kim, Dae-Shik; et al, 한국과학기술원, 2019

56188
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

56189
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

56190
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

56191
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

56192
Deep spiral convolutional neural network for single image super-resolution and image enhancement = 초해상도 단일 영상 복원 및 영상 화질 개선을 위한 심층 나선형 컨볼루셔널 신경망 연구link

Park, Sanghyuk; Yoo, Changdong; et al, 한국과학기술원, 2018

56193
Deep SR-ITM: Joint Learning of Super-resolution and Inverse Tone-Mapping for 4K UHD HDR Applications

Kim, Soo Ye; Oh, Jihyong; Kim, Munchurl, IEEE/CVF International Conference on Computer Vision (ICCV), pp.3116 - 3125, Computer Vision Foundation, 2019-10-31

56194
Deep Stall 회복 제어 시 최적의 모드 전환을 위한 Phase Portrait 및 Control Level Contour 활용

양희돈; 심현철, 2013 춘계학술대회, 한국항공우주학회, 2013-04

56195
Deep sub-ambient radiative cooler design utilizing angular conversion = 각도 변환을 이용한 고 냉각 복사냉각 구조체link

Yun, Kyungsun; Shin, Jonghwa; et al, 한국과학기술원, 2021

56196
Deep Submicron MOSFET Modeling for Manufacturing

Lee, Kwyro, Semiconductor Manufacturing Technology Workshop, pp.3 - 14, 1994-04

56197
Deep Submicron MOSFET Modeling for Manufacturing

Lee, Kwyro, 2011-10-06

56198
Deep tissue optical focusing and optogenetic modulation with time-reversed ultrasonically encoded light

Ruan, Haowen; Brake, Joshua; Robinson, J. Elliott; Liu, Yan; Jang, Mooseok; Xiao, Cheng; Zhou, Chunyi; et al, SCIENCE ADVANCES, v.3, no.12, pp.eaao5520, 2017-12

56199
Deep tissue space-gated microscopy via acousto-optic interactions

Jang, Mooseok; Ko, Hakseok; Hong, Jin Hee; Lee, Won Kyu; Lee, Jae-Seung; Choi, Wonshik, NATURE COMMUNICATIONS, v.11, no.1, pp.710, 2020-02

56200
Deep Transfer Learning-Based Adaptive Beamforming for Realistic Communication Channels

Yang, Hyewon; Jee, Jeongju; Kwon, Girim; Park, Hyuncheol, The 11th International Conference on Information and Communication Technology Convergence, pp.1373 - 1376, The Korean Institute of Communications and Information Sciences, 2020-10-22

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