Browse "College of Engineering(공과대학)" by Type Article
Showing results 31981 to 32000 of 62135
| Machine learning applications in genome-scale metabolic modeling Kim, Yeji; Kim, Gi Bae; Lee, Sang Yup, Current Opinion in Systems Biology, v.25, pp.42 - 49, 2021-03 |
| Machine learning applications in systems metabolic engineering Kim, Gi Bae; Kim, Won Jun; Kim, Hyun Uk; Lee, Sang Yup, CURRENT OPINION IN BIOTECHNOLOGY, v.64, pp.1 - 9, 2020-08 |
| 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 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 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 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 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 |
| Machine Learning for Advanced Wireless Sensor Networks: A Review Kim, Taeyoung; Vecchietti, Luiz Felipe; Choi, Kyujin; Lee, Sangkeum; Har, Dongsoo, IEEE SENSORS JOURNAL, v.21, no.11, pp.12379 - 12397, 2021-06 |
| Machine Learning for Object Recognition in Manufacturing Applications Yun, Huitaek; Kim, Eunseob; Kim, Dong Min; Park, Hyung Wook; Jun, Martin Byung-Guk, INTERNATIONAL JOURNAL OF PRECISION ENGINEERING AND MANUFACTURING, v.24, no.4, pp.683 - 712, 2023-04 |
Machine Learning for Practical Localization System Using Multiview CSI Kim, Minseuk; Han, Dongsoo; Rhee, June-Koo Kevin, IEEE ACCESS, v.8, pp.184575 - 184584, 2020-10 |
| Machine learning for renewable energy materials Gu, Geun Ho; Noh, Juhwan; Kim, Inkyung; Jung, Yousung, JOURNAL OF MATERIALS CHEMISTRY A, v.7, no.29, pp.17096 - 17117, 2019-08 |
| Machine learning powered sketch aided design via topology optimization Zhang, Weisheng; Wang, Yue; Youn, Sung-Kie; Guo, Xu, COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING, v.419, 2024-02 |
| Machine learning-assisted optimization of TBBPA-bis-(2,3-dibromopropyl ether) extraction process from ABS polymer Wan, Yan; Zeng, Qiang; Shi, Pujiang; Yoon, Yong-Jin; Tay, Chor Yong; Lee, Jong-Min, CHEMOSPHERE, v.287, 2022-01 |
| Machine learning-based constitutive model for J2- plasticity Jang, DP; Fazily, Piemaan; Yoon, Jeong Whan, INTERNATIONAL JOURNAL OF PLASTICITY, v.138, pp.102919, 2021-03 |
| Machine Learning-Based Dimension Optimization for Two-Stage Precoder in Massive MIMO Systems with Limited Feedback Kang, Jinho; Lee, Jung Hoon; Choi, Wan, APPLIED SCIENCES-BASEL, v.9, no.14, 2019-07 |
| Machine learning-based discovery of molecules, crystals, and composites: A perspective review Lee, Sangwon; Byun, Haeun; Cheon, Mujin; Kim, Jihan; Lee, Jay Hyung, KOREAN JOURNAL OF CHEMICAL ENGINEERING, v.38, no.10, pp.1971 - 1982, 2021-10 |
| Machine learning-based discrete event dynamic surrogate model of communication systems for simulating the command, control, and communication system of systems Kang, Bong Gu; Seo, Kyung-Min; Kim, Tag Gon, SIMULATION-TRANSACTIONS OF THE SOCIETY FOR MODELING AND SIMULATION INTERNATIONAL, v.95, no.8, pp.673 - 691, 2019-08 |
| Machine learning-based inverse design methods considering data characteristics and design space size in materials design and manufacturing: a review Lee, Junhyeong; Park, Donggeun; Lee, Mingyu; Lee, Hugon; Park, Kundo; Lee, Ikjin; Ryu, Seunghwa, MATERIALS HORIZONS, v.10, no.12, pp.5436 - 5456, 2023-12 |
| Machine learning-based optimization of segmented thermoelectric power generators using temperature-dependent performance properties Demeke, Wabi; Ryu, Byungki; Ryu, Seunghwa, APPLIED ENERGY, v.355, 2024-02 |
| Machine learning-based self-powered acoustic sensor for speaker recognition Han, Jae Hyun; Bae, Kang Min; Hong, Seong Kwang; Park, Hyunsin; Kwak, Jun-Hyuk; Wang, Hee Seung; Joe, Daniel Juhyung; et al, NANO ENERGY, v.53, pp.658 - 665, 2018-11 |
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