Browse "College of Engineering(공과대학)" by Type Conference

Showing results 43609 to 43668 of 91222

43609
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

43610
M&S를 위한 SIMDIS에서 지형의 3D 표현

박동조; 김석권; 손재원, 한국군사과학기술학회, 한국군사과학기술학회, 2010

43611
M(η5-C5Me5)TEA [M=Ti, Zr, Hf] 메탈로센촉매와 공촉매인 Methylaluminoxane에 의한 에틸렌 중합

Son Ki Ihm, , 1999-01-01

43612
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

43613
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

43614
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

43615
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

43616
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

43617
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

43618
M-생존자 채널 추정기에 기반을 둔 적응 MLSE 수신기

조성권; 이용훈, 통신 정보 합동 학술대회 (JCCI '98), pp.176 - 180, 대한전자공학회, 1998-04

43619
M-적분을 이용한 각형개재물의 모서리 특이응력장의 해석

엄윤용, 대한기계학회 재료 및 파괴부문 학술대회, pp.53 - 580, 1998

43620
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

43621
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

43622
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

43623
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

43624
Mach-Zehnder 변조기의 소광비가 멀티레벨 광신호의 성능에 미치는 영향

정윤철, 광자기술 학술회의, 광자기술 학술회의, 2010

43625
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

43626
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

43627
Machine learning (ML)-based lithography optimizations

Shin, Youngsoo; Shim, Seongbo; Choi, Suhyeong, IEEE Asia Pacific Conference on Circuits and Systems, IEEE, 2016-10-25

43628
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

43629
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

43630
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

43631
Machine learning approaches to the configuration energies and chemisorption models in solids

Jung, Yousung, Machine Learning for Energy Materials Discovery, MIT, 2017-05-30

43632
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

43633
Machine learning approaches to the configuration energies and chemisorption models in solids

Jung, Yousung, 대한화학회 제 118회 총회 및 학술발표회, 대한화학회, 2016-10-13

43634
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

43635
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

43636
Machine Learning based Flexible Piezoelectric sensor

Lee, Keon Jae, Acoustics 2023, Acoustical Society, 2023-12-06

43637
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

43638
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

43639
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

43640
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

43641
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

43642
Machine learning for heterogeneous catalysts and their synthesizability

Jung, Yousung, ACS Fall Meeting, American Chemical Society, 2021-08-23

43643
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

43644
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

43645
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

43646
Machine learning-based 3D resist model

Shim, Seongbo; Choi, Suhyeong; Shin, Youngsoo, SPIE Advanced Lithography, SPIE, 2017-02-26

43647
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

43648
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

43649
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

43650
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

43651
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

43652
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

43653
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

43654
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

43655
Machine learning-based resist 3D model

Shim, Seongbo; Choi, Suhyeong; Shin, Youngsoo, Optical Microlithography XXX 2017, SPIE, 2017-02

43656
Machine Learning-based Self-powered Acoustic Sensor for Speaker Recognition

Chung, MinGi; Lee, Keon Jae, Nano Korea 2021, NANO KOREA, 2021-07-09

43657
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

43658
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

43659
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

43660
Machine-Accelerated Materials Structure-Property-Synthesizability Prediction

Jung, Yousung, The International Chemical Congress of Pacific Basin Societies 2021, Pacifichem, 2021-12-20

43661
Machine-Enabled Chemical Structure-Property-Synthesizability Predictions

정유성, 제 24회 2022 고분자 신기술 강좌, 한국고분자학회, 2022-10-05

43662
Machine-Enabled Exploration of Materials Chemical Space

정유성, 2020년 한국세라믹학회 춘계학술대회, 한국세라믹학회, 2020-07-06

43663
Machine-Enabled Exploration of Materials Space

정유성, 2020년도 대한금속 재료학회 추계학술대회(제9회 뉴호라이즌 심포지엄(인공지능재료과학분과), 대한금속재료학회, 2020-10-29

43664
Machine-enabled inverse design of solid-state materials

Jung, Yousung, NANO KOREA 2020, NANO KOREA Symposium, 2020-07-02

43665
Machine-Learning Based Porous Materials Design

김지한, 한국세라믹학회 추계학술대회, 한국세라믹학회, 2020-11-24

43666
Machine-Learning-based Device Optimization with TCAD

김보겸; 신민철, 제27회 한국반도체학술대회, pp.111, 제27회 한국반도체학술대회, 2020-02-13

43667
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

43668
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

rss_1.0 rss_2.0 atom_1.0