Showing results 173001 to 173020 of 279500
Robustness of multiparty nonlocality to local decoherence Jang, SS; Cheong, YW; Kim, J; Lee, Hai-Woong, PHYSICAL REVIEW A, v.74, pp.19524 - 19529, 2006-12 |
Robustness of Order-Up-to Policies in Lost-Sales Inventory Systems Bijvank, Marco; Huh, Woonghee Tim; Janakiraman, Ganesh; Kang, Wan-Mo, OPERATIONS RESEARCH, v.62, no.5, pp.1040 - 1047, 2014-09 |
Robustness of Predictive Learning Systems under Changes in Regime 김형관, Korean Info. Processing Society, 1998 |
Robustness of Secret Key Agreement Protocol with Massive MIMO under Pilot Contamination Attack. Im, Sanghun; Jeon, Hyoungsuk; Choi, Jinho; Ha, Jeongseok, International Conference on ICT Convergence 2013(ICTC 2013), IEEE, 2013-10 |
Robustness of the in-degree exponent for the World-Wide Web Kahng, B; Park, Y; Jeong, Hawoong, PHYSICAL REVIEW E, v.66, no.4, 2002-10 |
Robustness to laser frequency offset in direct-detection DPSK and DQPSK systems Kim, Hoon; Winzer, PJ, JOURNAL OF LIGHTWAVE TECHNOLOGY, v.21, no.9, pp.1887 - 1891, 2003-09 |
RobustNet: Improving Domain Generalization in Urban-Scene Segmentation via Instance Selective Whitening Choi, Sungha; Jung, Sanghun; Yun, Huiwon; Kim, Joanne; Kim, Seungryong; Choo, Jaegul, IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp.11575 - 11585, IEEE Computer Vision and Pattern Recognition, 2021-06-19 |
RobustSsF: Robust Missing Modality Brain Tumor Segmentation with Self-supervised Learning-based Scenario-specific Fusion Lee, Jeongwon; Kim, Dae-Shik, 40th International Conference on Machine Learning, ICML 2023, The International Conference on Machine Learning, 2023-07-28 |
RobustSsF: Robust missing-modality brain tumor segmentation with self-supervised learning-based scenario-specific fusion = RobustSsF: 자기지도 학습 기반의 시나리오-특화 퓨전을 사용한 견고한 누락-모달리티 뇌 종양 분할link Lee, Jeongwon; 이정원; et al, 한국과학기술원, 2024 |
ROC study of an adaptive image enhancement for mammography Park, HyunWook; Kim, J.K.; Kim, K.H.; Lee, Y.J.; Song, K.S.; Park, J.M., SCAR, pp.179 - 184, 1996-06 |
Rock Cutting Depth Model Based on Kinetic Energy of Abrasive Waterjet Oh, Tae-Min; Cho, Gye-Chun, ROCK MECHANICS AND ROCK ENGINEERING, v.49, no.3, pp.1059 - 1072, 2016-03 |
Rock Cutting Performance between Abrasive Waterjet and Abrasive Suspension Jet System Joo, Gun Wook; Oh, Tae-Min; Ahn, Tae-Zin; Lee, Seong-Won; Cho, Gye-Chun, The 2016 World Congress on Advances in Civil, Environmental, and Materials Research (ACEM16), Techno-Press, 2016-08-31 |
Rock excavation using abrasive waterjet = 연마제 워터젯을 이용한 암반굴착link Oh, Tae-Min; 오태민; et al, 한국과학기술원, 2012 |
Rock fracturing characteristics by high pressure waterjet – geometric parameters Cho, Gye-Chun; Prasidhi, A.K; Oh, T.M., Tunnelling and Underground Space Construction for Sustainable Development (TU-Seoul 2013), Korean Tunnelling and Underground Space Association, 2013-03-18 |
Rock Integrity Assessment During Tunnel Excavation with Electrical Resistivity 홍창호; 김진섭; 이민형; 조계춘, 대한토목학회 2020 CONVENTION, 대한토목학회, 2020-10-23 |
Rock mass classification and prediction ahead of tunnel using electromagnetic wave = 전자기파를 이용한 암반분류법 및 터널전방예측link Choi, Jun-Su; 최준수; et al, 한국과학기술원, 2005 |
Rock mass classification using electrical resistivity - An analytical study Choi, J.-S.; Ryu, H.-H.; Lee, I.-M.; Cho, Gye-Chun, ADVANCED NONDESTRUCTUVE EVALUATION I, PTS 1 AND 2, PROCEEDINGS, v.321-323, pp.1411 - 1414, 2006 |
Rock mass classification using electrical resistivity – An analytical study Choi, Jun-Su; Cho, Gye-Chun; Lee, In-Mo, Innternational Conference on Advanced Nondestructive Evaluation, 2005 |
Rock Mass Dynamic Test Apparatus for Estimating the Strain-Dependent Dynamic Properties of Jointed Rock Masses Chong, Song-Hun; Kim, Joo-Won; Cho, Gye-Chun, GEOTECHNICAL TESTING JOURNAL, v.37, no.2, pp.311 - 318, 2014-03 |
ROCK star - Efficient Black-box Optimization for Policy Learning Hwangbo, Jemin; Gehring, Christian; Sommer, Hannes; Siegwart, Roland; Buchli, Jonas, 14th IEEE-RAS International Conference on Humanoid Robots (Humanoids), pp.535 - 540, IEEE, 2014-11 |
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