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Sunghoon Lim
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2020 – today
- 2025
- [j17]Gyeongho Kim, Yun Seok Kang, Sang Min Yang, Jaegyeong Choi, Gahyun Hwang, Hyung Wook Park, Sunghoon Lim:
Fisher-informed continual learning for remaining useful life prediction of machining tools under varying operating conditions. Reliab. Eng. Syst. Saf. 253: 110549 (2025) - 2024
- [j16]Jaegyeong Choi, Dong Chan Kim, Miyoung Chung, Sunghoon Lim, Hyung Wook Park:
Multimodal 1D CNN for delamination prediction in CFRP drilling process with industrial robots. Comput. Ind. Eng. 190: 110074 (2024) - [j15]Gyeongho Kim, Jaegyeong Choi, Sunghoon Lim:
Using transformer and a reweighting technique to develop a remaining useful life estimation method for turbofan engines. Eng. Appl. Artif. Intell. 133: 108475 (2024) - [j14]Jaegyeong Choi, Dong Chan Kim, Miyoung Chung, Gyeongho Kim, Hyung Wook Park, Sunghoon Lim:
Accurate synthesis of sensor-to-machined-surface image generation in carbon fiber-reinforced plastic drilling. Expert Syst. Appl. 255: 124656 (2024) - 2023
- [j13]Malinda Vania, Bayu Adhi Tama, Hasan Maulahela, Sunghoon Lim:
Recent Advances in Applying Machine Learning and Deep Learning to Detect Upper Gastrointestinal Tract Lesions. IEEE Access 11: 66544-66567 (2023) - [j12]Bayu Adhi Tama, Malinda Vania, Seungchul Lee, Sunghoon Lim:
Recent advances in the application of deep learning for fault diagnosis of rotating machinery using vibration signals. Artif. Intell. Rev. 56(5): 4667-4709 (2023) - [j11]Gyeongho Kim, Sang Min Yang, Dong Min Kim, Sinwon Kim, Jaegyeong Choi, Minjoo Ku, Sunghoon Lim, Hyung Wook Park:
Bayesian-based uncertainty-aware tool-wear prediction model in end-milling process of titanium alloy. Appl. Soft Comput. 148: 110922 (2023) - [j10]Gyeongho Kim, Jaegyeong Choi, Minjoo Ku, Sunghoon Lim:
Developing a semi-supervised learning and ordinal classification framework for quality level prediction in manufacturing. Comput. Ind. Eng. 181: 109286 (2023) - 2022
- [j9]Sunghoon Lim, Donghee Choi, Soo-Hyoung Lee, Chongqing Kang, Jung-Wook Park:
Frequency Stability Enhancement of Low-Inertia Large-Scale Power System Based on Grey Wolf Optimization. IEEE Access 10: 11657-11668 (2022) - [j8]Bayu Adhi Tama, Malinda Vania, Iljung Kim, Sunghoon Lim:
An EfficientNet-Based Weighted Ensemble Model for Industrial Machine Malfunction Detection Using Acoustic Signals. IEEE Access 10: 34625-34636 (2022) - [j7]Gyeongho Kim, Sunghoon Lim:
Development of an Interpretable Maritime Accident Prediction System Using Machine Learning Techniques. IEEE Access 10: 41313-41329 (2022) - [j6]Gyeongho Kim, Dong-Hyun Shin, Jaegyeong Choi, Sunghoon Lim:
A Deep Learning-Based Cryptocurrency Price Prediction Model That Uses On-Chain Data. IEEE Access 10: 56232-56248 (2022) - [j5]Sunghoon Lim, Donghee Choi, Jung-Wook Park:
Effective Inertial Response With New Coordinated Control for Multiple WPPs. IEEE Access 10: 105702-105712 (2022) - [j4]Sujoy Chatterjee, Sunghoon Lim:
A TOPSIS-Inspired Ranking Method Using Constrained Crowd Opinions for Urban Planning. Entropy 24(3): 371 (2022) - 2021
- [j3]Gyeongho Kim, Jaegyeong Choi, Minjoo Ku, Hyewon Cho, Sunghoon Lim:
A Multimodal Deep Learning-Based Fault Detection Model for a Plastic Injection Molding Process. IEEE Access 9: 132455-132467 (2021) - [j2]Jaegyeong Choi, Chan Woo Kong, Gyeongho Kim, Sunghoon Lim:
Car crash detection using ensemble deep learning and multimodal data from dashboard cameras. Expert Syst. Appl. 183: 115400 (2021) - [j1]Sunghoon Lim, Sun Jun Kim, Youngjae Park, Nahyun Kwon:
A deep learning-based time series model with missing value handling techniques to predict various types of liquid cargo traffic. Expert Syst. Appl. 184: 115532 (2021)
Coauthor Index
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