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| 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 proactive caching strategy in the CoMP-enabled small cell network = CoMP 기반의 스몰 셀 네트워크에서의 기계학습을 활용한 능동 캐싱 기법 연구link Ahn, Junseop; Choi, Jun Kyun; 최준균; Park, Hong Shik; et al, 한국과학기술원, 2019 |
| Machine learning-based refinement of genomic structural variations and genomic analysis of ALK-rearranged non-small cell lung cancer = 기계학습 기반의 유전체 구조 변이 식별 및 ALK 유전자 재배열으로 유발된 비소세포성 폐암의 유전체 분석link Park, Hansol; Ju, Young Seok; et al, 한국과학기술원, 2023 |
| 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 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 |
| 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 skeleton extraction for sports pose estimation = 운동 자세 인식을 위한 기계 학습 기반의 사람 관절 위치 추정 기법link Lee, Seung Hee; Myung, Hyun; et al, 한국과학기술원, 2017 |
| 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-Driven Design Optimization of Buckling-Induced Quasi-Zero Stiffness Metastructures for Low-Frequency Vibration Isolation Hong, Hyunsoo; Kim, Wonki; Kim, Wonvin; Jeong, Jae-moon; Kim, Samuel; Kim, Seong Su, ACS APPLIED MATERIALS INTERFACES, v.16, no.14, pp.17965 - 17972, 2024-03 |
| Machine learning-driven stress integration method for anisotropic plasticity in sheet metal forming Fazily, Piemaan; Yoon, Jeong Whan, INTERNATIONAL JOURNAL OF PLASTICITY, v.166, 2023-07 |
| Machine learning-enabled development of high performance gradient-index phononic crystals for energy focusing and harvesting Lee, Sangryun; Choi, Wonjae; Park, Jeong Won; Kim, Dae-Su; Nahm, Sahn; Jeon, Wonju; Gu, Grace X.; et al, NANO ENERGY, v.103, 2022-12 |
| Machine Learning-Enabled Exploration of the Electrochemical Stability of Real-Scale Metallic Nanoparticles Bang, Kihoon; Hong, Doosun; Park, Youngtae; Kim, Donghun; Han, Sang Soo; Lee, Hyuck-Mo, NATURE COMMUNICATIONS, v.14, no.1, 2023-05 |
| 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-enabled textile-based graphene gas sensing with energy harvesting-assisted IoT application Zhu, Jianxiong; Cho, Minkyu; Li, Yutao; He, Tianyiyi; Ahn, Junseong; Park, Jaeho; Ren, Tian-Ling; et al, NANO ENERGY, v.86, 2021-08 |
| Machine learning-enhanced prediction of optimal metal-organic frameworks for O$_2$/N$_2$ gas separation = O$_2$/N$_2$ 가스 분리를 위한 최적의 금속-유기 구조체에 대한 기계 학습 예측link Kum, Hwayeon; 금화연; et al, 한국과학기술원, 2024 |
| Machine Learning-Guided Etch Proximity Correction Shim, Seongbo; Shin, Youngsoo, IEEE TRANSACTIONS ON SEMICONDUCTOR MANUFACTURING, v.30, no.1, pp.1 - 7, 2017-02 |
| Machine learning-guided evaluation of extraction and simulation methods for cancer patient-specific metabolic models Lee, Sang Mi; Lee, GaRyoung; Kim, Hyun Uk, COMPUTATIONAL AND STRUCTURAL BIOTECHNOLOGY JOURNAL, v.20, pp.3041 - 3052, 2022-06 |
| 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 learning: Overview of the recent progresses and implications for the process systems engineering field Lee, Jay Hyung; Shin, Joohyun; Realff, Matthew J., COMPUTERS & CHEMICAL ENGINEERING, v.114, pp.111 - 121, 2018-06 |
| Machine Straightness Error Measurement Based on Optical Fiber Fabry-Perot Interferometer Monitoring Technique Fu, Xingyu; Zhou, Fengfeng; Yun, Huitaek; Kim, Eunseob; Chen, Siying; Jun, Martin Byung-Guk, JOURNAL OF MANUFACTURING SCIENCE AND ENGINEERING-TRANSACTIONS OF THE ASME, v.145, no.1, 2023-01 |
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