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Showing results 52281 to 52300 of 109619
| M2m: Imbalanced Classification via Major-to-minor Translation Jaehyung, Kim; Jeong, Jongheon; Shin, Jinwoo, IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2020, IEEE Computer Society, 2020-06-16 |
| MABEL, a new robotic bipedal walker and runner Grizzle, Jessy W; Hurst, Jonathan; Morris, Benjamin; Park, Hae-Won; Sreenath, Koushil, 2009 American Control Conference, ACC 2009, pp.2030 - 2036, IEEE, 2009-06-11 |
| MAC algorithm for energy-limited ad-hoc networks Jin, Kyu Tae; Cho, Dong-Ho, 52nd Vehicular Technology Conference (IEEE VTS Fall VTC2000), pp.219 - 222, IEEE, 2000-09-24 |
| MAC-Aware Routing Metric for 802.11 Wireless Mesh Networks Kim, Seongkwan; Lee, Okhwan; Choi, Sunghyun; Lee, Sung-Ju, The 20th IEEE International Symposium on Personal, Indoor and Mobile Communications (PIMRC 2009), IEEE, 2009-09-13 |
| Mach probe in electron cyclotron resonance plasma Chang, Hong-Young; Lee, PW, 2nd APCPST, APCPST, 1995 |
| Mach probe measurement of flow velocity in RF plasma Yang Jang Gyoo; Chang, Hong-Young, The IEEE International Conference on Plasma Science, pp.179 -, IEEE, 1994-06-06 |
| Mach-Zehnder modulator based on novel non-linear optical organic-silica hybrid films Min, Yoo Hong; Yoon, Choon Sup; Kim, Hwan-Kyu; Lee, Kwang-Sup, Proc. '99 Korea-China Joint Symposium on Semiconductor Physics and Device Applications, pp.15 - 16, 1999 |
| Mach-Zehnder 간섭계를 이용한 광섬유 교류 전압센서 김병윤, 제1회 광자기술학술회의, pp.0 - 0, 1992-01-01 |
| Mach-Zehnder 간섭계의 Fringe Counting을 이용한 교류 전압 측정 김병윤, 제65회 한국물리학회 정기총회, pp.0 - 0, 한국물리학회, 1992-01-01 |
| Mach-Zehnder 변조기의 소광비가 멀티레벨 광신호의 성능에 미치는 영향 정윤철, 광자기술 학술회의, 광자기술 학술회의, 2010 |
| Machinability studies of AA2024-T351 alloy with uncoated carbide tool Paresi, Prudvi Reddy; Arunachalam, N.; Lou, Yanshan; Yoon, Jeong Whan, 11th International Conference on Materials, Processing and Characterization (ICMPC), pp.1058 - 1064, ELSEVIER, 2020-12 |
| Machine Aided Error-Correction Environment for Korean Morphological Analysis and Part-of-Speech Tagging Park, Junsik; Kang, Jung-Goo; Hur, Wook; Choi, Key-Sun, International Conference on Computational Linguistics, 1998 |
| Machine learning (ML)-based lithography optimizations Shin, Youngsoo; Shim, Seongbo; Choi, Suhyeong, IEEE Asia Pacific Conference on Circuits and Systems, IEEE, 2016-10-25 |
| Machine learning (ML)-guided OPC using basis functions of polar Fourier transform Shim, Seongbo; Choi, Su Hyeong; Shin, Young Soo, SPIE Advanced Lithography, SPIE, 2016-02-24 |
| Machine Learning and Autonomous Systems in the Military Realm: An Engineer’s Point of View Lee, Soo-Young, 3rd SIPRI Workshop on Mapping the Impact of Machine Learning and Autonomy on Strategic Stability and Nuclear Risk, STOCKHOLM INTERNATIONAL PEACE RESEARCH INSTITUTE, 2019-02-25 |
| Machine Learning Approach to Yield Management in Semiconductor Manufacturing: Continuous Class Learning Approaches Park, Sang Chan, Int'l Conf. on Production Research, pp.1219 - 1222, 1999 |
| Machine learning approaches for materials discovery: Predictive and generative models Jung, Yousung, Telluride Workshop Machine Learning and Informatics for Chemistry and Materials, Telluride Science Research Center, 2018-10-01 |
| Machine learning approaches to the configuration energies and chemisorption models in solids Jung, Yousung, Machine Learning for Energy Materials Discovery, MIT, 2017-05-30 |
| Machine learning approaches to the configuration energies and chemisorption models in solids Jung, Yousung, IPAM(Institute for Pure & Applied mathematics)Workshop I: Machine Learning Meets Many-Particle Problems, ipam, 2016-09-26 |
| Machine learning approaches to the configuration energies and chemisorption models in solids Jung, Yousung, 대한화학회 제 118회 총회 및 학술발표회, 대한화학회, 2016-10-13 |
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