Sunghoon Lim
Orcid: 0000-0001-9534-7397
According to our database1,
Sunghoon Lim
authored at least 13 papers
between 2021 and 2023.
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Bibliography
2023
Bayesian-based uncertainty-aware tool-wear prediction model in end-milling process of titanium alloy.
Appl. Soft Comput., November, 2023
Developing a semi-supervised learning and ordinal classification framework for quality level prediction in manufacturing.
Comput. Ind. Eng., July, 2023
Recent advances in the application of deep learning for fault diagnosis of rotating machinery using vibration signals.
Artif. Intell. Rev., May, 2023
Recent Advances in Applying Machine Learning and Deep Learning to Detect Upper Gastrointestinal Tract Lesions.
IEEE Access, 2023
2022
A TOPSIS-Inspired Ranking Method Using Constrained Crowd Opinions for Urban Planning.
Entropy, 2022
An EfficientNet-Based Weighted Ensemble Model for Industrial Machine Malfunction Detection Using Acoustic Signals.
IEEE Access, 2022
IEEE Access, 2022
Frequency Stability Enhancement of Low-Inertia Large-Scale Power System Based on Grey Wolf Optimization.
IEEE Access, 2022
IEEE Access, 2022
Development of an Interpretable Maritime Accident Prediction System Using Machine Learning Techniques.
IEEE Access, 2022
2021
A deep learning-based time series model with missing value handling techniques to predict various types of liquid cargo traffic.
Expert Syst. Appl., 2021
Car crash detection using ensemble deep learning and multimodal data from dashboard cameras.
Expert Syst. Appl., 2021
A Multimodal Deep Learning-Based Fault Detection Model for a Plastic Injection Molding Process.
IEEE Access, 2021