Showing results 90741 to 90760 of 201433
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 |
MAC-DO: Multi-bit analog in-memory accelerator compatible with DRAM using output stationary = 아웃풋 스테이셔너리를 이용한 디램 기반의 다중비트 아날로그 인메모리 가속기link JEONG, MINKI; Jung, Wanyeong; et al, 한국과학기술원, 2022 |
Mach-zehnder 간섭계 형의 온도 센서 제작 = Fabrication of mach-zehnder interferometer type temperature sensorlink 김대건; Kim, Dae-Kun; et al, 한국과학기술원, 1989 |
Mach-Zehnder 변조기의 소광비가 멀티레벨 광신호의 성능에 미치는 영향 정윤철, 광자기술 학술회의, 광자기술 학술회의, 2010 |
MACHINABILITY OF CARBON-FIBER EPOXY COMPOSITE-MATERIALS IN TURNING Ki Soo Kim; Lee, Dai Gil; Kwak, Yoon Keun; Suk Namgung, JOURNAL OF MATERIALS PROCESSING TECHNOLOGY, v.32, no.3, pp.553 - 570, 1992-08 |
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 capacity allocation strategies for scheduling a large multi-chip assembly line Lee, Sang-Jin; Lee, Tae-Eog, EUROPEAN JOURNAL OF INDUSTRIAL ENGINEERING, v.5, pp.327 - 337, 2011 |
Machine intelligence quotient: its measurements and applications Bien, Zeung nam; Bang, WC; Kim, DY; Han, JS, FUZZY SETS AND SYSTEMS, v.127, no.1, pp.3 - 16, 2002-04 |
Machine Layout Problem in Direcect-Input-Output Manufacturing System 황학, 산업공학(IE INTERFACES), v.9, no.2, pp.203 - 218, 1996-01 |
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 acceleration method with multidimensional data embedding and coded distributed computing for internet of things = 다차원 데이터 임베딩과 코드화된 분산 컴퓨팅을 통한 사물인터넷 환경에서의 기계학습 가속화 방법link Kim, Nakyoung, 한국과학기술원, 2021 |
Machine learning algorithms for sparse supervision = 저지도 상황에서의 기계학습 알고리즘 연구link Seo, Jun; Moon, Jaekyun; et al, 한국과학기술원, 2022 |
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 applications in genome-scale metabolic modeling Kim, Yeji; Kim, Gi Bae; Lee, Sang Yup, Current Opinion in Systems Biology, v.25, pp.42 - 49, 2021-03 |
Machine learning applications in systems metabolic engineering Kim, Gi Bae; Kim, Won Jun; Kim, Hyun Uk; Lee, Sang Yup, CURRENT OPINION IN BIOTECHNOLOGY, v.64, pp.1 - 9, 2020-08 |
Machine learning approach for anonymizing electronic medical records = 전자의무기록의 기계학습 기반 익명화 기법link Shin, Moon-Shik; 신문식; et al, 한국과학기술원, 2012 |
Machine Learning Approach for Inverse Scattering Problem = 기계학습을 이용한 역산란 문제 연구link Yoo, Jaejun; Ye, Jong Chul; et al, 한국과학기술원, 2018 |
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 |
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