Browse "College of Engineering(공과대학)" by Type Conference
Showing results 43448 to 43507 of 90872
| M ultiscale Simulations On the M echanism of Dye-Sensitiz ed Solar Cell Systems 김형준, 제 111회 2013년 대한화학회 춘계 학술 발표회, 대한화학회, 2013-04-18 |
| M&S를 위한 SIMDIS에서 지형의 3D 표현 박동조; 김석권; 손재원, 한국군사과학기술학회, 한국군사과학기술학회, 2010 |
| M(η5-C5Me5)TEA [M=Ti, Zr, Hf] 메탈로센촉매와 공촉매인 Methylaluminoxane에 의한 에틸렌 중합 Son Ki Ihm, , 1999-01-01 |
| M-BRIC: Design of Mass-driven Bi-Rotor with RL-based Intelligent Controller Lee, Dongkyu; LEE, EUNGCHANG; Choi, Duckyu; CHOI, JUNHO; Tirtawardhana, Christian; Myung, Hyun, 19th International Conference on Ubiquitous Robots, UR 2022, pp.103 - 108, Institute of Electrical and Electronics Engineers Inc., 2022-07-04 |
| M-CAM: Visual Explanation of Challenging Conditioned Dataset with Bias-reducing Memory Kim, Seongyeop; Ro, Yong Man, The 32nd British Machine Vision Conference, BMVC 2021, British Machine Vision Association (BMVA), 2021-11-23 |
| M-FAMA: A Multi-session MAC Protocol for Reliable Underwater Acoustic Streams Han, Seongwon; Noh, Youngtae; Lee, nUichin; Mario, Gerla, IEEE INFOCOM 2013, pp.665 - 673, IEEE, 2013-04-16 |
| M-Gesture: Geometric gesture authoring framework for multi-device gestures using wearable devices Kim, Juwhan; Nam, Tek-Jin, 27th Annual ACM Symposium on User Interface Software and Technology, UIST 2014, pp.125 - 126, ACM SIGCHI and SIGGRAPH, 2014-10 |
| M-plan: Multipath Planning based transmissions for IoT multimedia sensing Chen, Min; Wang, Junfeng; Lin, Kai; Wu, Di; Wan, Jiafu; Peng, Limei; Youn, Chan-Hyun, 12th IEEE International Wireless Communications and Mobile Computing Conference, IWCMC 2016, pp.339 - 344, Institute of Electrical and Electronics Engineers Inc., 2016-09 |
| M-Zoom: Fast Dense-Block Detection in Tensors with Quality Guarantees Shin, Kijung; Hooi, Bryan; Faloutsos, Christos, European Conference on Machine Learning and Knowledge Discovery in Databases (ECML-PKDD), pp.264 - 280, Springer, 2016-09-23 |
| M-생존자 채널 추정기에 기반을 둔 적응 MLSE 수신기 조성권; 이용훈, 통신 정보 합동 학술대회 (JCCI '98), pp.176 - 180, 대한전자공학회, 1998-04 |
| M-적분을 이용한 각형개재물의 모서리 특이응력장의 해석 엄윤용, 대한기계학회 재료 및 파괴부문 학술대회, pp.53 - 580, 1998 |
| M.Gesture: An Acceleration-Based Gesture Authoring System on Multiple Handheld and Wearable Devices Kim, Ju Hwan; Kim, Han Jong; Nam, Tek Jin, 34th Annual Conference on Human Factors in Computing Systems, CHI 2016, pp.2307 - 2318, Association for Computing Machinery, 2016-05-07 |
| 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-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 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 |
| Machine Learning based Flexible Piezoelectric sensor Lee, Keon Jae, Acoustics 2023, Acoustical Society, 2023-12-06 |
| Machine Learning Driven Aid Classification for Sustainable Development Lee, Junho; Song, Hyeonho; Lee, Dongjoon; Kim, Sundong; Sim, Jisoo; Cha, Meeyoung; Park, Kyung Ryul, 32nd International Joint Conference on Artificial Intelligence, International Joint Conference on Artificial Intelligence (IJCAI), 2023-08-23 |
| Machine Learning driven prediction model for strength reduction of fire-damaged RC column based on numerical analysis Kim, Hyun-Kyoung; Kwak, Hyo-Gyoung, ECCOMAS Congress 2022(The 8th European Congress on Computational Methods in Applied Sciences and Engineering), ECCOMAS, 2022-06-07 |
| Machine Learning driven prediction model for strength reduction of fire-damaged RC column based on numerical analysis Kim, HyunKyoung; Kwak, Hyo-Gyoung, The 33rd KKHTCNN Symposium on CivilEngineering, Department of Civil & Environmental Engineering College of Design and Engineering, National University of Singapore, 2022-11-18 |
| Machine learning enabled the design of compact and efficient wavelength demultiplexing photonic devices Kurt, Hamza, 2023 IEEE Photonics Conference (IPC), pp.1 - 2, IEEE Photonics Society, 2023-11-13 |
| Machine Learning Enables Discovery of Ternary Alloy Catalysts for Oxygen Reduction Park, Youngtae; Lee, Hyuck-Mo, TMS 2022 Annual Meeting & Exhibition, The Minerals, Metals & Materials Society, 2022-03-02 |
| Machine learning for heterogeneous catalysts and their synthesizability Jung, Yousung, ACS Fall Meeting, American Chemical Society, 2021-08-23 |
| Machine Learning Prediction of Electronic Density of States of Nanoparticles Bang, Kihoon; Yeo, Byung Chul; Hong, Doosun; Kim, Donghun; Han, Sang Soo; Lee, Hyuck-Mo, The 5th International Conference on Molecular Simulation, The Korean Institute of Metals and Materials, Korea Institute of Science and Technology, 2019-11-04 |
| Machine Learning Robustness, Fairness, and their Convergence Lee, Jae-Gil; Roh, Yuji; Song, Hwanjun; Whang, Steven Euijong, 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD 2021, pp.4046 - 4047, Association for Computing Machinery, 2021-08-14 |
| Machine learning to explore solid-state chemical space Jung, Yousung, Toward Inverse Design of Functional Inorganic Materials, Materials Research and Engineering (IMRE), 2020-01-28 |
| Machine learning-based 3D resist model Shim, Seongbo; Choi, Suhyeong; Shin, Youngsoo, SPIE Advanced Lithography, SPIE, 2017-02-26 |
| Machine Learning-Based Beamforming in Two-User MISO Interference Channels Kwon, Hyung Jun; Lee, Jung Hoon; Choi, Wan, 1st International Conference on Artificial Intelligence in Information and Communication (ICAIIC), pp.496 - 499, IEEE, 2019-02 |
| Machine Learning-Based Channel Prediction Exploiting Frequency Correlation in Massive MIMO Wideband Systems Ko, Beomsoo; Kim, Hwanjin; Choi, Junil, 2021 International Conference on Information and Communication Technology Convergence (ICTC), pp.1069 - 1071, IEEE, 2021-10-20 |
| Machine Learning-Based Energy Management in a Hybrid Electric Vehicle to Minimize Total Operating Cost Xue Lin; Paul Bogdan; Chang, Naehyuck; Massoud Pedram, Proceedings of the International Conference on Computer Aided Design (ICCAD), ACM SIGDA and IEEE CEDA, 2015-11-04 |
| Machine Learning-Based Energy Management in a Hybrid Electric Vehicle to Minimize Total Operating Cost Lin, Xue; Bogdan, Paul; Chang, Naehyuck; Pedram, Massoud, 34th IEEE/ACM International Conference on Computer-Aided Design, ICCAD 2015, pp.627 - 634, ACM SIGDA and IEEE CEDA, 2015-11-04 |
| Machine Learning-Based Error Recovery System for NAND Flash Memory with Process Variation Lee, Seonmin; Jee, Jeongju; Park, Hyuncheol, 12th International Conference on ICT Convergence (ICTC) - Beyond the Pandemic Era with ICT Convergence Innovation, pp.1537 - 1541, IEEE, 2021-10-22 |
| Machine learning-based evaluation of model extraction and simulation methods for high-quality cancer patient-specific metabolic models 이상미; 이가령; 김현욱, BIOINFO 2022, 한국생명정보학회, 2022-10-21 |
| MACHINE LEARNING-BASED PERIODIC SETUP CHANGES FOR SEMICONDUCTOR MANUFACTURING MACHINES Lee, Je-Hun; Kim, Hyunjung; Kim, Young; Kim, Yun Bae; Kim, Byung-Hee; Chung, Gu-Hwan, Winter Simulation Conference, INFORMS, 2021-12-16 |
| Machine Learning-based Pre-impact Fall Detection and Injury Prevention for the Elderly with Wearable Inertial Sensors Yu, Xiaoqun; Jang, Jake; Xiong, Shuping, 12th International Conference on Applied Human Factors and Ergonomics (AHFE 2021), v.273, pp.278 - 285, AHFE, 2021-07-26 |
| Machine learning-based resist 3D model Shim, Seongbo; Choi, Suhyeong; Shin, Youngsoo, Optical Microlithography XXX 2017, SPIE, 2017-02 |
| Machine Learning-based Self-powered Acoustic Sensor for Speaker Recognition Chung, MinGi; Lee, Keon Jae, Nano Korea 2021, NANO KOREA, 2021-07-09 |
| Machine Learning-based Topology Optimization: A Review Shin, Seungyeon; Shin, Dongju; Kim, Minyoung; Ryu, Hanyoung; Kang, Namwoo, The 2021 World Congress on Advances in Structural Engineering and Mechanics (ASEM21), IASEM, KAIST, KTA, SNU DAAE, 2021-08-24 |
| Machine learning-enabled framework for the process optimization of metal 3D printing in soft magnetic alloys Song, Byunguk; Lee, Ikjin, The 2nd International Conference on Design for 3D Printing, ICD3DP 2023, The Korean Society of Mechanical Engineers, Nanyang Technological University, 2023-10 |
| Machine Learning-Incorporated Intravascular Optical Coherence Tomography-Fluorescence Lifetime Imaging (OCT-FLIm) Provides Automated and Comprehensive Structural-Biochemical Characterization of Coronary Atherosclerotic Plaques Kim, Sun Won; Nam, Hyeong Soo; Kang, Woojae; Song, Joon Woo; Han, Jeongmoo; Lee, Min Woo; Park, Hyun-Sang; et al, AHA Scientific Sessions 2019, American Heart Association, 2019-11-16 |
| Machine-Accelerated Materials Structure-Property-Synthesizability Prediction Jung, Yousung, The International Chemical Congress of Pacific Basin Societies 2021, Pacifichem, 2021-12-20 |
| Machine-Enabled Chemical Structure-Property-Synthesizability Predictions 정유성, 제 24회 2022 고분자 신기술 강좌, 한국고분자학회, 2022-10-05 |
| Machine-Enabled Exploration of Materials Chemical Space 정유성, 2020년 한국세라믹학회 춘계학술대회, 한국세라믹학회, 2020-07-06 |
| Machine-Enabled Exploration of Materials Space 정유성, 2020년도 대한금속 재료학회 추계학술대회(제9회 뉴호라이즌 심포지엄(인공지능재료과학분과), 대한금속재료학회, 2020-10-29 |
| Machine-enabled inverse design of solid-state materials Jung, Yousung, NANO KOREA 2020, NANO KOREA Symposium, 2020-07-02 |
| Machine-Learning Based Porous Materials Design 김지한, 한국세라믹학회 추계학술대회, 한국세라믹학회, 2020-11-24 |
| Machine-Learning-based Device Optimization with TCAD 김보겸; 신민철, 제27회 한국반도체학술대회, pp.111, 제27회 한국반도체학술대회, 2020-02-13 |
| Machine-Learning-Based Feature Selection Techniques for Large-Scale Network Intrusion Detection Al-Jarrah, O. Y; Siddiqui, A; Elsalamouny, M; Yoo, P. D; Muhaidat, S; Kim, Kwangjo, The First International Workshop on Big Data Analytics for Security (DASec), Sapienza Università di Roma, 2014-06-30 |
| Machine-Learning-Guided Selectively Unsound Static Analysis Heo, Kihong; Oh, Hakjoo; Yi, Kwangkeun, 39th IEEE/ACM International Conference on Software Engineering, ICSE 2017, pp.519 - 529, IEEE Computer Society and ACM SIGSOFT, 2017-05-20 |
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