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Showing results 52181 to 52200 of 109424
| 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 |
| Machine Learning Approaches to the Configuration Energies and Chemisorption Models in Solids Jung, Yousung, 2017 Symposium for the Promotion of Applied Research Collaboration in Asia, Asia Pacific Society for Materials Science (APSMR), 2017-02-26 |
| Machine learning assisted characterization of atherosclerotic plaque components via multispectral fluorescence lifetime imaging microscopy Han, Jeongmoo; Kim, Sunwon; Kim, Hyun Jung; Nam, Hyeong Soo; Kim, Jin Won; Yoo, Hongki, SPIE Photonics West 2023, SPIE, 2023-01-29 |
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