Browse "College of Engineering(공과대학)" by Title
Showing results 90761 to 90780 of 201433
| 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 assisted synthesis of lithium-ion batteries cathode materials Liow, Chi Hao; Kang, Hyeonmuk; Kim, Seunggu; Na, Moony; Lee, Yongju; Baucour, Arthur; Bang, Kihoon; et al, NANO ENERGY, v.98, 2022-07 |
| Machine learning based approach for large-scale drug-target binding prediction = 기계 학습 기법을 통한 대규모 약물-표적 결합 예측link Lee, KyoungYeul; Kim, Dongsup; et al, 한국과학기술원, 2020 |
| Machine learning based catalytic property prediction of metal nanoparticles = 머신러닝 기반 금속나노입자 촉매 성능 예측link Bang, Kihoon; Lee, Hyuck Mo; et al, 한국과학기술원, 2020 |
| Machine learning based english-to-Korean transliteration using grapheme and phoneme information Oh, JH; Choi, Key-Sun, IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS, v.E88D, no.7, pp.1737 - 1748, 2005-07 |
| Machine learning based epoxy resins properties prediction = 머신러닝을 활용한 에폭시수지 물성 예측link Jang, Huiwon; Kim, Jihan; et al, 한국과학기술원, 2022 |
| Machine learning based evolutionary algorithms and optimization for transportation and logistics Preface Cheng, John; Yang, Bin; Gen, Mitsuo; Jang, Young Jae; Liang, Cheng-Ji, COMPUTERS & INDUSTRIAL ENGINEERING, v.143, 2020-05 |
| Machine Learning based Flexible Piezoelectric sensor Lee, Keon Jae, Acoustics 2023, Acoustical Society, 2023-12-06 |
| Machine learning based photovoltaic energy prediction scheme by augmentation of on-site IoT data Park, Jaeeun; Kim, Jangkyum; Lee, Sanghyun; Choi, Jun Kyun, FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, v.134, pp.1 - 12, 2022-09 |
| Machine learning based solar power & load forecasting and ESS-based energy management in power grids = 전력망에서의 기계학습 기반의 태양광 출력 및 전력부하 예측과 에너지저장장치 기반의 에너지 관리link Bae, Kuk Yeol; Sung, Dan Keun; et al, 한국과학기술원, 2017 |
| 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 filters out efficient electrocatalysts in the massive ternary alloy space for fuel cells Park, Youngtae; Hwang, Chang-Kyu; Bang, Kihoon; Hong, Doosun; Nam, Hyobin; Kwon, Soonho; Yeo, Byung Chul; et al, APPLIED CATALYSIS B-ENVIRONMENTAL, v.339, 2023-12 |
Discover
Open Access
Date issued
- 22,825 2020 - 2024
- 75,392 2010 - 2019
- 57,250 2000 - 2009
- 30,842 1990 - 1999
- 9,025 1980 - 1989