Browse "College of Engineering(공과대학)" by Type Conference
Showing results 43481 to 43500 of 90910
| 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 |
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