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| 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 classification of thermal stability in metal-organic frameworks = 금속-유기 구조체의 열 안정성에 대한 기계 학습 기반 분류link Park, Yoonseo; 박윤서; et al, 한국과학기술원, 2024 |
| 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 constitutive model for metal plasticity = 금속 소성학을 위한 머신러닝 기반 구성모델link Jang, Dong Phill; Yoon, Jeong Whan; et al, 한국과학기술원, 2020 |
| Machine learning-based constitutive model for metal plasticity = 금속 소성학을 위한 머신러닝 기반 구성모델link Piemaan, Fazily; 피에만 파질리; et al, 한국과학기술원, 2024 |
| Machine Learning-based Currency Information Retrieval for Aiding the Visually Impaired People Chatterjee, Kajal; Obaidat, Mohammad S; Samanta, Debabrata; Islam, SK Hafizul; Joseph, Niju P, 2021 International Conference on Computer, Information and Telecommunication Systems (CITS), IEEE, 2021-11-11 |
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 electrochemical monitoring for molten chloride salt reactors = 염화용융염원자로를 위한 기계 학습 기반 전기화학 모니터링link Yang, Wonseok; 양원석; et al, 한국과학기술원, 2024 |
| 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 epoxy resin property prediction Jang, Huiwon; Ryu, Dayoung; Lee, Wonseok; Park, Geunyeong; Kim, Jihan, MOLECULAR SYSTEMS DESIGN & ENGINEERING, v.9, no.9, pp.959 - 968, 2024-08 |
| Machine learning-based error recovery schemes for low latency NAND flash memory system with process variation = 공정 변동이 존재하는 저지연 NAND 플래시 메모리 시스템을 위한 기계 학습 기반의 에러 복구 기법에 대한 연구link Lee, Seonmin; Park, Hyuncheol; et al, 한국과학기술원, 2022 |
| 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 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 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 |
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