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Showing results 52181 to 52200 of 109410
| 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 |
| 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 |
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