Showing results 9581 to 9600 of 51627
Atomistic Simulation of GaSb/InAs Ultra-thin-body Tunnel FETs Cho, Yucheol; Shin, Mincheol, Nano Korea 2019, Nano Korea 2019, 2019-07-04 |
Atomistic Simulation of InAs Tunnel FETs based on TB-NEGF Method 정우진; 신민철, 제23회 반도체 학술대회, 성균관대학교,한국반도체산업협회,한국반도체연구조합, 2016-02-23 |
Atomistic simulations of nanoscale field effect transistors 신민철, 제 25회 한국반도체학술대회, (사)한국반도체연구조합, 2018-02-06 |
Atomistics of Asymmetric Lateral Growth of Colloidal Zincblende CdSe Nanoplatelets Yoon, Da-Eun; Lee, Juho; Yeo, Hyeonwoo; Ryou, Junga; Lee, Young Kuk; Kim, Yong-Hoon; Lee, Doh Chang, CHEMISTRY OF MATERIALS, v.33, no.12, pp.4813 - 4820, 2021-05 |
ATSC 3.0 LDM/TDM performance comparison in fixed reception environment Kwon, Sunhyoung; Park, Sung Ik; Lee, Jae-Young; Lim, Bo-Mi; Kim, Heung Mook; Hur, Namho; Kang, Joonhyuk, 12th IEEE International Symposium on Broadband Multimedia Systems and Broadcasting, BMSB 2017, IEEE Computer Society, 2017-06 |
Attack and rebuild: greedy attackers in federated learning using gradient projection = 공격과 재건: 경사 투영을 이용하는 연합학습의 탐욕적 공격자link Kang, Joohyun; Yi, Yung; et al, 한국과학기술원, 2020 |
Attacking Software-Defined Networks: A First Feasibility Study Shin, Seung Won; Gu, Guofei, ACM SIGCOMM Workshop on Hot Topics in Software Defined Networking, pp.165 - 166, SIGCOMM, 2013-08-16 |
Attacking the Kad Network Wang, P; Tyra, J; Chan-Tin, E; Malchow, T; Foo Kune, D; Hopper, N; Kim, Yongdae, SecureComm 2008. , ICST, 2008-09 |
Attacking the Kad Network - Real World Evaluation and High Fidelity Simulation using DVN - Chan-Tin, Eric; Wang, Peng; Tyra, James; Malchow, Tyson; Kune, Denis Foo; Hopper, Nicholas; Kim, Yongdae, Wiley Security and Communication Networks, 2009 , IEEE, 2009-05 |
Attended Relation Feature Representation of Facial Dynamics for Facial Authentication Kim, Seong Tae; Ro, Yong Man, IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY, v.14, no.7, pp.1768 - 1778, 2019-07 |
Attention in deep neural networks for object recognition = 객체 인식을 위한 깊은 인공 신경망에서의 주의집중 매커니즘link Woo, Sanghyun; Kweon, In So; et al, 한국과학기술원, 2019 |
Attention Model-Based Visual Comfort Assessment for Stereoscopic Depth Perception Ro, YongMan; Park, HW; Lee, Seong Il; Jung, YJ; Sohn, H, 2011 IEEE International Conference on Digital Signal Processing (DSP 2011), IEEE, 2011-07-06 |
Attention modules for feed-forward neural networks = 피드포워드 인공신경망을 위한 주의집중 모듈link Park, Jongchan; Kweon, In So; et al, 한국과학기술원, 2018 |
Attention 기반 end-to-end 음성인식 개선을 위한 시각화 분석 = Visual analysis for attention-based end-to-end speech recognition improvementlink 임성민; 김회린; et al, 한국과학기술원, 2019 |
Attention-Based Autoregression for Accurate and Efficient Multivariate Time Series Forecasting Yoo, Jaemin; Kang, U, SIAM International Conference on Data Mining, pp.531 - 539, Society for Industrial and Applied Mathematics, 2021-04-30 |
Attention-based deep learning framework for semantic segmentation of 3D point clouds for autonomous driving = 자율주행을 위한 3차원 포인트 클라우드의 의미론적 분할을 위한 주의 기반 딥러닝 프레임워크link Abid, Furqan; 아비드풀칸; et al, 한국과학기술원, 2023 |
Attentional Modulation using fMRI Neurofeedback: Preliminary Experience Yoo, S-S; Song, M-S; Yoon, H-W; Chen, N-K; Fairneny, T.; Panych, L.P.; Jolesz, F.A.; et al, International Society for Magnetic Resonance in Medicine, pp.1047 - 1047, International Society for Magnetic Resonance in Medicine(ISMRM), 2004-05 |
AttentionNet: AggregatingWeak Directions for Accurate Object Detection Yoo, Donggeun; Park, Sunggyun; Lee, Joon Young; Paek, Anthony S; Kweon, In So, IEEE International Conference on Computer Vision (ICCV 2015), IEEE Computer Society and the Computer Vision Foundation (CVF), 2015-12-15 |
Attentive and Contrastive Learning for Joint Depth and Motion Field Estimation Lee, Seokju; Rameau, Francois; Pan, Fei; Kweon, In-So, 18th IEEE/CVF International Conference on Computer Vision, ICCV 2021, pp.4842 - 4851, IEEE Computer Society, 2021-10-17 |
Attentive Layer Separation for Object Classification and Object Localization in Object Detection Kim, Jung Uk; Ro, Yong Man, 26th IEEE International Conference on Image Processing, ICIP 2019, pp.3995 - 3999, IEEE Signal Processing Society, 2019-09-25 |
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