Browse "Dept. of Mechanical Engineering(기계공학과)" by Subject Deep learning
Showing results 1 to 27 of 27
| A Physics-informed and data-driven deep learning approach for wave propagation and its scattering characteristics Lee, Soo Young; Park, Choon-Su; Park, Keonhyeok; Lee, Hyung Jin; Lee, Seungchul, ENGINEERING WITH COMPUTERS, v.39, no.4, pp.2609 - 2625, 2023-08 |
| A survey of machine learning techniques in structural and multidisciplinary optimization Ramu, Palaniappan; Thananjayan, Pugazhenthi; Acar, Erdem; Bayrak, Gamze; Park, Jeong Woo; Lee, Ikjin, STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION, v.65, no.9, 2022-09 |
| Automatic Ship Detection and Tracking Considering the Uncertainty of Deep Learning-based Object Detection Kim, Jonghwi; Cho, Yonghoon; Han, Sol; Kim, Jinwhan, Journal of Institute of Control, Robotics and Systems, v.28, no.6, pp.529 - 535, 2022-06 |
| Con-FusionNet: Multi-network fusion framework based on network calibration = 네트워크 교정에 기반한 다중 네트워크 융합 프레임 워크link Yoon, Sung-Hoon; Yoon, Kuk-Jin; et al, 한국과학기술원, 2020 |
| Convolutional neural network-based object detection model to identify gastrointestinal stromal tumors in endoscopic ultrasound images Oh, Chang Kyo; Kim, Taewan; Cho, Yu Kyung; Cheung, Dae Young; Lee, Bo-In; Cho, Young-Seok; Kim, Jin Il; et al, JOURNAL OF GASTROENTEROLOGY AND HEPATOLOGY, v.36, no.12, pp.3387 - 3394, 2021-12 |
| Data Augmentation based on Deep Learning for Object Detection of Infrared Cameras in Extreme Environments Cho, Jinwoo; Park, Ji Il; Jeon, Hyunyong; Park, Jihyuk; Kim, Kyung-Soo, Journal of the Korean Society for Precision Engineering, v.39, no.6, pp.387 - 394, 2022-06 |
| Deep learned finite elements Jung, Jaeho; Yoon, Kyungho; Lee, Phill-Seung, COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING, v.372, 2020-12 |
| Deep learning based cough detection camera using enhanced features Lee, Gyeong-Tae; Nam, Hyeonuk; Kim, Seong-Hu; Choi, Sang-Min; Kim, Youngkey; Park, Yong-Hwa, EXPERT SYSTEMS WITH APPLICATIONS, v.206, 2022-11 |
| Deep Learning for HDR Imaging: State-of-the-Art and Future Trends Wang, Lin; Yoon, Kuk-Jin, IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, v.44, no.12, pp.8874 - 8895, 2022-12 |
| Deep Learning-Based Estimation of the Unknown Road Profile and State Variables for the Vehicle Suspension System Kim, Gyuwon; Lee, Soo Young; Oh, Jong-Seok; Lee, Seungchul, IEEE ACCESS, v.9, pp.13878 - 13890, 2021 |
| Deep learning-based method for multiple sound source localization with high resolution and accuracy Lee, Soo Young; Chang, Jiho; Lee, Seungchul, MECHANICAL SYSTEMS AND SIGNAL PROCESSING, v.161, 2021-12 |
| Deep learning-based phase prediction of high-entropy alloys: Optimization, generation, and explanation Lee, Soo Young; Byeon, Seokyeong; Kim, Hyoung Seop; Jin, Hyungyu; Lee, Seungchul, MATERIALS & DESIGN, v.197, 2021-01 |
| Deep learning-based prediction and interpretability of physical phenomena for metaporous materials Lee, Soo Young; Lee, Jihun; Lee, Joong Seok; Lee, Seungchul, MATERIALS TODAY PHYSICS, v.30, 2023-01 |
| Deep-learning- and reinforcement-learning-based profitable strategy of a grid-level energy storage system for the smart grid Han, Gwangwoo; Lee, Sanghun; Lee, Jaemyung; Lee, Kangyong; Bae, Joongmyeon, JOURNAL OF ENERGY STORAGE, v.41, 2021-09 |
| Designing directional adhesive pillars using deep learning-based optimization, 3D printing, and testing Kim, Yongtae; Yeo, Jinwook; Park, Kundo; Destree, Aymeric; Qin, Zhao; Ryu, Seunghwa, MECHANICS OF MATERIALS, v.185, 2023-10 |
| Double generative network (DGNet) pipeline for structure-property relation of digital composites Park, Donggeun; Jung, Jiyoung; Ryu, Seunghwa, COMPOSITE STRUCTURES, v.319, 2023-09 |
| Exploration of optimal microstructure and mechanical properties in continuous microstructure space using a variational autoencoder Kim, Yongju; Park, Hyung Keun; Jung, Jaimyun; Asghari-Rad, Peyman; Lee, Seungchul; Kim, Jin You; Jung, Hwan Gyo; et al, MATERIALS & DESIGN, v.202, 2021-04 |
| High Accuracy Real-time Multi-Gas Identification by Batch-Uniform Gas Sensor Array and Deep Learning Algorithm Kang, Mingu; Cho, Incheol; Park, Jaeho; Jeong, Jaeseok; Lee, Kichul; Lee, Byeongju; Henriquez, Dionisio Del Orbe; et al, ACS SENSORS, v.7, no.2, pp.430 - 440, 2022-02 |
| 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-driven stress integration method for anisotropic plasticity in sheet metal forming Fazily, Piemaan; Yoon, Jeong Whan, INTERNATIONAL JOURNAL OF PLASTICITY, v.166, 2023-07 |
| Optimizing laser powder bed fusion of Ti-5Al-5V-5Mo-3Cr by artificial intelligence Shin, Da Seul; Lee, Chi Hun; Kuehn, Uta; Lee, Seung Chul; Park, Seong Jin; Schwab, Holger; Scudino, Sergio; et al, JOURNAL OF ALLOYS AND COMPOUNDS, v.862, 2021-05 |
| Recent advances in the application of deep learning for fault diagnosis of rotating machinery using vibration signals Tama, Bayu Adhi; Vania, Malinda; Lee, Seungchul; Lim, Sunghoon, ARTIFICIAL INTELLIGENCE REVIEW, v.56, no.5, pp.4667 - 4709, 2023-05 |
| Recent Advances of Artificial Intelligence in Manufacturing Industrial Sectors: A Review Kim, Sung Wook; Kong, Jun Ho; Lee, Sang Won; Lee, Seungchul, INTERNATIONAL JOURNAL OF PRECISION ENGINEERING AND MANUFACTURING, v.23, no.1, pp.111 - 129, 2022-01 |
| Self-updated four-node finite element using deep learning Jung, Jaeho; Jun, Hyungmin; Lee, Phill-Seung, COMPUTATIONAL MECHANICS, v.69, no.1, pp.23 - 44, 2022-01 |
Simulation of Germanium-on-Nothing cavity’s morphological transformation using deep learning Jeong, Jaewoo; Kim, Taeyeong; Lee, Jungchul, MICRO AND NANO SYSTEMS LETTERS, v.10, no.1, 2022-12 |
| Wave height classification via deep learning using monoscopic ocean videos Kim, Yun-Ho; Cho, Seongpil; Lee, Phill-Seung, OCEAN ENGINEERING, v.288, 2023-11 |
| 합성곱 신경망 기반의 딥러닝을 이용한 섬유 강화 복합재료의 적층 각도 예측 Hong, Hyunsoo; Kim, Wonki; Jeon, Do Yoon; Lee, Kwanho; Kim, Seong Su, COMPOSITES RESEARCH, v.36, no.1, pp.48 - 52, 2023-02 |
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