Browse "Dept. of Mechanical Engineering(기계공학과)" by Subject deep learning

Showing results 16 to 21 of 21

16
Point-level deep learning approach for 3D acoustic source localization

Lee, Soo Young; Chang, Jiho; Lee, Seungchul, SMART STRUCTURES AND SYSTEMS, v.29, no.6, pp.777 - 783, 2022-06

17
Predicting Atomic Force Microscopy Topography from Optical Microscopes Using Deep Learning

Jeong, Jaewoo; Kim, Taeyeong; Lee, Bong Jae; Lee, Jungchul, ADVANCED INTELLIGENT SYSTEMS, v.5, no.1, 2023-01

18
Simple and Multiplexed Detection of Nucleic Acid Targets Based on Fluorescent Ring Patterns and Deep Learning Analysis

Lee, Juhee; Lee, Taegu; Lee, Ha Neul; Kim, Hyoungsoo; Kang, Yoo Kyung; Ryu, Seunghwa; Chung, Hyun Jung, ACS APPLIED MATERIALS & INTERFACES, v.15, no.47, pp.54335 - 54345, 2023-11

19
Spatial and Sequential Deep Learning Approach for Predicting Temperature Distribution in a Steel-Making Continuous Casting Process

Lee, Soo Young; Tama, Bayu Adhi; Choi, Changyun; Hwang, Jong-Yeon; Bang, Jonggeun; Lee, Seungchul, IEEE ACCESS, v.8, pp.21953 - 21965, 2020

20
Steel Surface Defect Diagnostics Using Deep Convolutional Neural Network and Class Activation Map

Lee, Soo Young; Tama, Bayu Adhi; Moon, Seok Jun; Lee, Seungchul, APPLIED SCIENCES-BASEL, v.9, no.24, 2019-12

21
Wavelet-like convolutional neural network structure for time-series data classification

Park, Seungtae; Jeong, Haedong; Min, Hyungcheol; Lee, Hojin; Lee, Seungchul, SMART STRUCTURES AND SYSTEMS, v.22, no.2, pp.175 - 183, 2018-08

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