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Showing results 56301 to 56320 of 278081
| Deep Learning for HDR Imaging: State-of-the-Art and Future Trends Wang, Lin; Yoon, Kuk-Jin, IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, v.44, no.12, pp.8874 - 8895, 2022-12 |
| Deep learning for image segmentation, registration, and imputation using limited amounts of labeled data = 제한된 양의 라벨 데이터를 이용한 딥 러닝 기반의 영상 분할, 정합 및 대체 기법 연구link Kim, Boah; Ye, Jong Chul; et al, 한국과학기술원, 2023 |
| Deep learning for lensless imaging Kim, Hyeonggeon; Song, Gookho; You, Jong-in; Lee, Chanseok; Jang, Mooseok, JOURNAL OF THE KOREAN PHYSICAL SOCIETY, v.81, no.6, pp.570 - 579, 2022-09 |
| Deep learning for metabolic pathway design Ryu, Gahyeon; Kim, Gi Bae; Yu, Taeho; Lee, Sang Yup, METABOLIC ENGINEERING, v.80, pp.130 - 141, 2023-11 |
| Deep learning for NAND read bias decision = 극소수 읽기 시도 기반 최적 낸드 읽기 전압 결정 인공지능 기법 연구link Jo, Sunyoung; Moon, Jaekyun; et al, 한국과학기술원, 2023 |
| Deep learning for prediction of drug-drug and drug-food interactions JANG, WOO DAE; Ryu, Jae Yong; Kim, Hyun Uk; Lee, Sang Yup, 한국화학공학회 2019년도 가을 총회 및 학술대회, 한국화학공학회, 2019-10-25 |
| Deep learning for smart drug discovery 김우연, 2018 Machine Learning Winter School, 한국계산과학공학회(KSCSE), 2018-12-21 |
| Deep learning for smart molecular design 김우연, 2018 대한화학회 추계학술대회, 대한화학회, 2018-10-19 |
| Deep learning for smart molecular design 김우연, 한국물리학회 추계학술대회, 한국물리학회, 2018-10-24 |
| Deep learning for tomographic image reconstruction Wang, Ge; Ye, Jong Chul; De Man, Bruno, NATURE MACHINE INTELLIGENCE, v.2, no.12, pp.737 - 748, 2020-12 |
| Deep learning for vocal melody extractionlink Kum, Sangeun; Nam, Juhan; et al, 2021 |
| Deep learning forecasting using time-varying parameters of the SIRD model for Covid-19 Bousquet, Arthur; Conrad, William H.; Sadat, Said Omer; Vardanyan, Nelli; Hong, Youngjoon, SCIENTIFIC REPORTS, v.12, no.1, 2022-02 |
Deep learning framework for material design space exploration using active transfer learning and data augmentation Kim, Yongtae; Kim, Youngsoo; Yang, Charles; Park, Kundo; Gu, Grace X.; Ryu, Seunghwa, NPJ COMPUTATIONAL MATERIALS, v.7, no.1, 2021-09 |
| Deep learning framework for modeling the effect of VR spatial resolution in VR sickness assessment = 가상현실 멀미 측정에서 영상의 화질에 따른 영향을 모델링하는 딥러닝 프레임워크link Kim, Kihyun; Ro, Yong Man; et al, 한국과학기술원, 2019 |
| Deep learning framework for vessel trajectory prediction using auxiliary tasks and convolutional networks Shin, Yu Yol; Kim, Nam Woo; Lee, Hyeyeong; In, Soh Young; Hansen, Mark; Yoon, Yoonjin, ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, v.132, 2024-06 |
| Deep learning improves prediction of drug-drug and drug-food interactions Ryu, Jae Yong; Kim, Hyun Uk; Lee, Sang Yup, PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, v.115, no.18, pp.E4304 - E4311, 2018-05 |
| Deep Learning in Biological Image and Signal Processing Meijering, Erik; Calhoun, Vince D.; Menegaz, Gloria; Miller, David J.; Ye, Jong Chul, IEEE SIGNAL PROCESSING MAGAZINE, v.39, no.2, pp.24 - 26, 2022-03 |
| Deep learning in intrusion detection perspective: overview and further challenges Kim, Kwangjo; Aminanto, Muhamad Erza, International Workshop on Big Data and Information Security (IWBIS), pp.5 - 10, IEEE, 2017-09-23 |
| Deep Learning in Intrusion Detection System: An Overview Aminanto, Erza; Kim, Kwangjo, 2016 International Research Conference on Engineering and Technology (2016 IRCET), v.0, Higher Education Forum, 2016-06 |
| DEEP LEARNING METHOD AND APPARATUS FOR AUTOMATIC UPRIGHT RECTIFICATION OF VIRTUAL REALITY CONTENT Bazin, Jean-Charles; Jung, Rae Hyuk; Lee, Seung Joon |
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