Embedded Files
Peer-reviewed Journal Publications
(†: Corresponding Author, #: Equal Contribution)
Peer-reviewed Journal Publications
(†: Corresponding Author, #: Equal Contribution)
Kim, Gyeongho, Sang Min Yang, Sinwon Kim, Do Young Kim, Jae Gyeong Choi, Hyung Wook Park, and Sunghoon Lim†. "A multi-domain mixture density network for tool wear prediction under multiple machining conditions." International Journal of Production Research 64, no. 17 (2026): 7306–7325.
Park, Soyeon#, Sang Min Yang#, Gyeongho Kim#, Dong Min Kim, Dong Chan Kim, Hoon-Hee Lee, Jae Gyeong Choi, Sujin Jeon, Sunghoon Lim†, and Hyung Wook Park†. "Towards holistic machinability estimation of titanium alloy: An integrated approach with enhanced feature extraction and physics-guided deep multi-task learning." Advanced Engineering Informatics 76 (2026): 104964.
Lim, Chansung, Gyeongho Kim†, and Sunghoon Lim†. "A deep active learning framework for defect classification of wafer bin maps under noisy labels." Advanced Engineering Informatics 74 (2026): 104621.
Choi, Jae Gyeong#, Dong Chan Kim#, Dong Min Kim, Gyeongho Kim, Sujin Jeon, Sunghoon Lim†, and Hyung Wook Park†. "Supervised contrastive learning for multi-source domain generalization: Tool failure prediction in data-deficient cryogenic milling processes." Applied Soft Computing 187 (2026): 114217.
Hwang, Gahyun#, Juhyun Kim#, Jihyeok Choi#, Geonhee Han, Gyeongho Kim, and Sunghoon Lim†. “Class-imbalanced gas thermal image detection in manufacturing using thermal region masking and density-based reweighting.” Applied Soft Computing 186 (2026): 114186.
Kim, Gyeongho, Sang Min Yang, Sujin Jeon, Soyeon Park, Jae Gyeong Choi, Hyung Wook Park, and Sunghoon Lim†. “Robust tool wear prediction under novel operating conditions via physics-guided unsupervised domain adaptation.” Advanced Engineering Informatics 69 (2026): 103883.
Kim, Gyeongho, Jae Gyeong Choi, Sujin Jeon, Soyeon Park, and Sunghoon Lim†. “Towards efficient data-driven fault diagnosis under low-budget scenarios via hybrid deep active learning.” Reliability Engineering & System Safety 266 (2026): 111637.
Choo, Youngjun, Sunghoon Lim, Yonghyun Kim, YeoJoon Park, Yonghoon Oh, Changyob Lee, Wonjun Yun, and Namhun Kim†."AIoT image analysis for real-time dispatching of shipyard transport devices: A focus on trailers." Expert Systems with Applications 296 (2026): 128947.
Kang, Yun Seok, Jae Gyeong Choi, Sang Min Yang, Sunghoon Lim, Dong Chan Kim†, and Hyung Wook Park†. "Artificial Intelligence Augmented Digital Twin for Improving the Machinability in a Robotic Carbon Fiber-reinforced Plastics Machining Process." Journal of Intelligent Manufacturing 37 (2026): 2259–2274.
Kim, Gyeongho, Yun Seok Kang, Sang Min Yang, Jae Gyeong Choi, Gahyun Hwang, Hyung Wook Park, and Sunghoon Lim†. “Fisher-informed continual learning for remaining useful life prediction of machining tools under varying operating conditions.” Reliability Engineering & System Safety 253 (2025): 110549.
Jeon, Sujin, Soyeon Park, Joonbum Bae, and Sunghoon Lim†. “Applying multistep classification techniques to recognize static and dynamic hand gestures in a soft sensor-embedded glove.” IEEE Sensors Journal 24, no. 19 (2024): 30668-30679.
Kim, Gyeongho#, Sang Min Yang#, Dong Min Kim, Jae Gyeong Choi, Sunghoon Lim†, and Hyung Wook Park†. "Developing a deep learning-based uncertainty-aware tool wear prediction method using smartphone sensors for the turning process of Ti-6Al-4V." Journal of Manufacturing Systems 76 (2024): 133-157.
Choi, Jae Gyeong, Dong Chan Kim, Miyoung Chung, Gyeongho Kim, Hyung Wook Park, and Sunghoon Lim†. “Accurate synthesis of sensor-to-machined-surface image generation in carbon fiber-reinforced plastic drilling.” Expert Systems with Applications 255 (2024): 124656.
Kim, Gyeongho, Jae Gyeong Choi, and Sunghoon Lim†. "Using Transformer and a Reweighting Technique to Develop a Remaining Useful Life Estimation Method for Turbofan Engines." Engineering Applications of Artificial Intelligence 133 (2024): 108475.
Kim, Gyeongho, Soyeon Park, Jae Gyeong Choi, Sang Min Yang, Hyung Wook Park, and Sunghoon Lim†. “Developing a Data-driven System for Grinding Process Parameter Optimization Using Machine Learning and Metaheuristic Algorithms.” CIRP Journal of Manufacturing Science and Technology 51 (2024): 20-35.
Choi, Jae Gyeong#, Dong Chan Kim#, Miyoung Chung#, Sunghoon Lim†, and Hyung Wook Park†. “Multimodal 1D CNN for delamination prediction in CFRP drilling process with industrial robots.” Computers & Industrial Engineering 190 (2024): 110074.
Kim, Gyeongho#, Sang Min Yang#, Dong Min Kim, Sinwon Kim, Jae Gyeong Choi, Minjoo Ku, Sunghoon Lim†, and Hyung Wook Park†. "Bayesian-Based Uncertainty-Aware Tool-Wear Prediction Model in End-Milling Process of Titanium Alloy." Applied Soft Computing 148 (2023): 110922.
Vania, Malinda#, Bayu Adhi Tama#, Hasan Maulahela, and Sunghoon Lim†. “Recent Advances in Applying Machine Learning and Deep Learning to Detect Upper Gastrointestinal Tract Lesions.” IEEE Access 11 (2023): 66544-66567.
Kim, Gyeongho, Jae Gyeong Choi, Minjoo Ku, and Sunghoon Lim†. "Developing a semi-supervised learning and ordinal classification framework for quality level prediction in manufacturing." Computers & Industrial Engineering 181 (2023): 109286.
Tama, Bayu Adhi, Malinda Vania, Seungchul Lee†, and Sunghoon Lim†. "Recent advances in the application of deep learning for fault diagnosis of rotating machinery using vibration signals." Artificial Intelligence Review 56 (2023): 4667-4709.
Kim, Gyeongho#, Dong-hyun Shin#, Jae Gyeong Choi, and Sunghoon Lim†. "A Deep Learning-Based Cryptocurrency Price Prediction Model That Uses On-chain Data." IEEE Access 10 (2022): 56232-56248.
Kim, Kyudong, Heena No, Kijung Park†, Hyun Woo Jeon†, and Sunghoon Lim. "Characterization of Power Demand and Energy Consumption for Fused Filament Fabrication Using CFR-PEEK." Rapid Prototyping Journal 28, no. 7 (2022): 1394-1406.
Kim, Gyeongho, and Sunghoon Lim†. "Development of an Interpretable Maritime Accident Prediction System Using Machine Learning Techniques." IEEE Access 10 (2022): 41313-41329.
Tama, Bayu Adhi#, Malinda Vania#, Iljung Kim, and Sunghoon Lim†. "An EfficientNet-based Weighted Ensemble Model for Industrial Machine Malfunction Detection Using Acoustic Signals." IEEE Access 10 (2022): 34625-34636.
Hwang, Seong Wook, and Sunghoon Lim†. “The Charging Infrastructure Design Problem with Electric Taxi Demand Prediction Using Convolutional LSTM.” European Journal of Industrial Engineering 16, no. 6 (2022): 1.
Chatterjee, Sujoy, and Sunghoon Lim†. "A TOPSIS-inspired ranking method using constrained crowd opinions for urban planning." Entropy 24, no. 3 (2022): 371.
Kim, Gyeongho#, Jae Gyeong Choi#, Minjoo Ku, Hyewon Cho, and Sunghoon Lim†. "A Multimodal Deep Learning-Based Fault Detection Model for a Plastic Injection Molding Process." IEEE Access 9 (2021): 132455-132467.
Tuarob, Suppawong, Poom Wettayakorn, Ponpat Phetchai, Siripong Traivijitkhun, Sunghoon Lim, Thanapon Noraset, and Tipajin Thaipisutikul†. "DAViS: A Unified Solution for Data Collection, Analyzation, and Visualization in Real-time Stock Market Prediction." Financial Innovation 7 (2021): 56.
Lim, Sunghoon†, Sun Jun Kim, YoungJae Park, and Nahyun Kwon. "A deep learning-based time series model with missing value handling techniques to predict various types of liquid cargo traffic." Expert Systems with Applications 184 (2021): 115532.
Choi, Jae Gyeong, Chan Woo Kong, Gyeongho Kim, and Sunghoon Lim†. "Car crash detection using ensemble deep learning and multimodal data from dashboard cameras." Expert Systems with Applications 183 (2021): 115400.
Tama, Bayu Adhi, and Sunghoon Lim†. "Ensemble learning for intrusion detection systems: A systematic mapping study and cross-benchmark evaluation." Computer Science Review 39 (2021): 100357.
Nkenyereye, Lewis, Bayu Adhi Tama, and Sunghoon Lim†. "A Stacking-based Deep Neural Network Approach for Effective Network Anomaly Detection." Computers, Materials & Continua 66, no. 2 (2021): 2217-2227.
Tama, Bayu Adhi, and Sunghoon Lim†. "A Comparative Performance Evaluation of Classification Algorithms for Clinical Decision Support Systems." Mathematics 8, no. 10 (2020): 1814.
Chatterjee, Sujoy, and Sunghoon Lim†. "A Multi-objective Differential Evolutionary Method for Constrained Crowd Judgment Analysis." IEEE Access 8 (2020): 87647-87664.
Lim, Sunghoon, and Conrad S. Tucker†. "Mining Twitter data for causal links between tweets and real-world outcomes." Expert Systems with Applications: X 3 (2019): 100007.
Lim, Sunghoon, Conrad S. Tucker†, Kathryn Jablokow, and Bart Pursel. "A semantic network model for measuring engagement and performance in online learning platforms." Computer Applications in Engineering Education 26, no. 5 (2018): 1481-1492.
Tuarob, Suppawong, Sunghoon Lim, and Conrad S. Tucker†. "Automated Discovery of Product Feature Inferences within Large Scale Implicit Social Media Data." Journal of Computing and Information Science in Engineering 18, no. 2 (2018): 021017.
Lim, Sunghoon, and Conrad S. Tucker†. "Mitigating Online Product Rating Biases Through the Discovery of Optimistic, Pessimistic, and Realistic Reviewers." Journal of Mechanical Design 139, no. 11 (2017): 111409.
Lim, Sunghoon, Conrad S. Tucker†, and Soundar Kumara. "An unsupervised machine learning model for discovering latent infectious diseases using social media data." Journal of Biomedical Informatics 66 (2017): 82-94. Lim, Sunghoon, and Conrad S. Tucker†. "A Bayesian Sampling Method for Product Feature Extraction From Large-Scale Textual Data." Journal of Mechanical Design 138, no. 6 (2016): 061403.
Park, Soyeon#, Sang Min Yang#, Gyeongho Kim#, Dong Min Kim, Dong Chan Kim, Hoon-Hee Lee, Jae Gyeong Choi, Sujin Jeon, Sunghoon Lim†, and Hyung Wook Park†. "Towards holistic machinability estimation of titanium alloy: An integrated approach with enhanced feature extraction and physics-guided deep multi-task learning." Advanced Engineering Informatics 76 (2026): 104964.
Lim, Chansung, Gyeongho Kim†, and Sunghoon Lim†. "A deep active learning framework for defect classification of wafer bin maps under noisy labels." Advanced Engineering Informatics 74 (2026): 104621.
Choi, Jae Gyeong#, Dong Chan Kim#, Dong Min Kim, Gyeongho Kim, Sujin Jeon, Sunghoon Lim†, and Hyung Wook Park†. "Supervised contrastive learning for multi-source domain generalization: Tool failure prediction in data-deficient cryogenic milling processes." Applied Soft Computing 187 (2026): 114217.
Hwang, Gahyun#, Juhyun Kim#, Jihyeok Choi#, Geonhee Han, Gyeongho Kim, and Sunghoon Lim†. “Class-imbalanced gas thermal image detection in manufacturing using thermal region masking and density-based reweighting.” Applied Soft Computing 186 (2026): 114186.
Kim, Gyeongho, Sang Min Yang, Sujin Jeon, Soyeon Park, Jae Gyeong Choi, Hyung Wook Park, and Sunghoon Lim†. “Robust tool wear prediction under novel operating conditions via physics-guided unsupervised domain adaptation.” Advanced Engineering Informatics 69 (2026): 103883.
Kim, Gyeongho, Jae Gyeong Choi, Sujin Jeon, Soyeon Park, and Sunghoon Lim†. “Towards efficient data-driven fault diagnosis under low-budget scenarios via hybrid deep active learning.” Reliability Engineering & System Safety 266 (2026): 111637.
Choo, Youngjun, Sunghoon Lim, Yonghyun Kim, YeoJoon Park, Yonghoon Oh, Changyob Lee, Wonjun Yun, and Namhun Kim†."AIoT image analysis for real-time dispatching of shipyard transport devices: A focus on trailers." Expert Systems with Applications 296 (2026): 128947.
Kang, Yun Seok, Jae Gyeong Choi, Sang Min Yang, Sunghoon Lim, Dong Chan Kim†, and Hyung Wook Park†. "Artificial Intelligence Augmented Digital Twin for Improving the Machinability in a Robotic Carbon Fiber-reinforced Plastics Machining Process." Journal of Intelligent Manufacturing 37 (2026): 2259–2274.
Kim, Gyeongho, Yun Seok Kang, Sang Min Yang, Jae Gyeong Choi, Gahyun Hwang, Hyung Wook Park, and Sunghoon Lim†. “Fisher-informed continual learning for remaining useful life prediction of machining tools under varying operating conditions.” Reliability Engineering & System Safety 253 (2025): 110549.
Jeon, Sujin, Soyeon Park, Joonbum Bae, and Sunghoon Lim†. “Applying multistep classification techniques to recognize static and dynamic hand gestures in a soft sensor-embedded glove.” IEEE Sensors Journal 24, no. 19 (2024): 30668-30679.
Kim, Gyeongho#, Sang Min Yang#, Dong Min Kim, Jae Gyeong Choi, Sunghoon Lim†, and Hyung Wook Park†. "Developing a deep learning-based uncertainty-aware tool wear prediction method using smartphone sensors for the turning process of Ti-6Al-4V." Journal of Manufacturing Systems 76 (2024): 133-157.
Choi, Jae Gyeong, Dong Chan Kim, Miyoung Chung, Gyeongho Kim, Hyung Wook Park, and Sunghoon Lim†. “Accurate synthesis of sensor-to-machined-surface image generation in carbon fiber-reinforced plastic drilling.” Expert Systems with Applications 255 (2024): 124656.
Kim, Gyeongho, Jae Gyeong Choi, and Sunghoon Lim†. "Using Transformer and a Reweighting Technique to Develop a Remaining Useful Life Estimation Method for Turbofan Engines." Engineering Applications of Artificial Intelligence 133 (2024): 108475.
Kim, Gyeongho, Soyeon Park, Jae Gyeong Choi, Sang Min Yang, Hyung Wook Park, and Sunghoon Lim†. “Developing a Data-driven System for Grinding Process Parameter Optimization Using Machine Learning and Metaheuristic Algorithms.” CIRP Journal of Manufacturing Science and Technology 51 (2024): 20-35.
Choi, Jae Gyeong#, Dong Chan Kim#, Miyoung Chung#, Sunghoon Lim†, and Hyung Wook Park†. “Multimodal 1D CNN for delamination prediction in CFRP drilling process with industrial robots.” Computers & Industrial Engineering 190 (2024): 110074.
Kim, Gyeongho#, Sang Min Yang#, Dong Min Kim, Sinwon Kim, Jae Gyeong Choi, Minjoo Ku, Sunghoon Lim†, and Hyung Wook Park†. "Bayesian-Based Uncertainty-Aware Tool-Wear Prediction Model in End-Milling Process of Titanium Alloy." Applied Soft Computing 148 (2023): 110922.
Vania, Malinda#, Bayu Adhi Tama#, Hasan Maulahela, and Sunghoon Lim†. “Recent Advances in Applying Machine Learning and Deep Learning to Detect Upper Gastrointestinal Tract Lesions.” IEEE Access 11 (2023): 66544-66567.
Kim, Gyeongho, Jae Gyeong Choi, Minjoo Ku, and Sunghoon Lim†. "Developing a semi-supervised learning and ordinal classification framework for quality level prediction in manufacturing." Computers & Industrial Engineering 181 (2023): 109286.
Tama, Bayu Adhi, Malinda Vania, Seungchul Lee†, and Sunghoon Lim†. "Recent advances in the application of deep learning for fault diagnosis of rotating machinery using vibration signals." Artificial Intelligence Review 56 (2023): 4667-4709.
Kim, Gyeongho#, Dong-hyun Shin#, Jae Gyeong Choi, and Sunghoon Lim†. "A Deep Learning-Based Cryptocurrency Price Prediction Model That Uses On-chain Data." IEEE Access 10 (2022): 56232-56248.
Kim, Kyudong, Heena No, Kijung Park†, Hyun Woo Jeon†, and Sunghoon Lim. "Characterization of Power Demand and Energy Consumption for Fused Filament Fabrication Using CFR-PEEK." Rapid Prototyping Journal 28, no. 7 (2022): 1394-1406.
Kim, Gyeongho, and Sunghoon Lim†. "Development of an Interpretable Maritime Accident Prediction System Using Machine Learning Techniques." IEEE Access 10 (2022): 41313-41329.
Tama, Bayu Adhi#, Malinda Vania#, Iljung Kim, and Sunghoon Lim†. "An EfficientNet-based Weighted Ensemble Model for Industrial Machine Malfunction Detection Using Acoustic Signals." IEEE Access 10 (2022): 34625-34636.
Hwang, Seong Wook, and Sunghoon Lim†. “The Charging Infrastructure Design Problem with Electric Taxi Demand Prediction Using Convolutional LSTM.” European Journal of Industrial Engineering 16, no. 6 (2022): 1.
Chatterjee, Sujoy, and Sunghoon Lim†. "A TOPSIS-inspired ranking method using constrained crowd opinions for urban planning." Entropy 24, no. 3 (2022): 371.
Kim, Gyeongho#, Jae Gyeong Choi#, Minjoo Ku, Hyewon Cho, and Sunghoon Lim†. "A Multimodal Deep Learning-Based Fault Detection Model for a Plastic Injection Molding Process." IEEE Access 9 (2021): 132455-132467.
Tuarob, Suppawong, Poom Wettayakorn, Ponpat Phetchai, Siripong Traivijitkhun, Sunghoon Lim, Thanapon Noraset, and Tipajin Thaipisutikul†. "DAViS: A Unified Solution for Data Collection, Analyzation, and Visualization in Real-time Stock Market Prediction." Financial Innovation 7 (2021): 56.
Lim, Sunghoon†, Sun Jun Kim, YoungJae Park, and Nahyun Kwon. "A deep learning-based time series model with missing value handling techniques to predict various types of liquid cargo traffic." Expert Systems with Applications 184 (2021): 115532.
Choi, Jae Gyeong, Chan Woo Kong, Gyeongho Kim, and Sunghoon Lim†. "Car crash detection using ensemble deep learning and multimodal data from dashboard cameras." Expert Systems with Applications 183 (2021): 115400.
Tama, Bayu Adhi, and Sunghoon Lim†. "Ensemble learning for intrusion detection systems: A systematic mapping study and cross-benchmark evaluation." Computer Science Review 39 (2021): 100357.
Nkenyereye, Lewis, Bayu Adhi Tama, and Sunghoon Lim†. "A Stacking-based Deep Neural Network Approach for Effective Network Anomaly Detection." Computers, Materials & Continua 66, no. 2 (2021): 2217-2227.
Tama, Bayu Adhi, and Sunghoon Lim†. "A Comparative Performance Evaluation of Classification Algorithms for Clinical Decision Support Systems." Mathematics 8, no. 10 (2020): 1814.
Chatterjee, Sujoy, and Sunghoon Lim†. "A Multi-objective Differential Evolutionary Method for Constrained Crowd Judgment Analysis." IEEE Access 8 (2020): 87647-87664.
Lim, Sunghoon, and Conrad S. Tucker†. "Mining Twitter data for causal links between tweets and real-world outcomes." Expert Systems with Applications: X 3 (2019): 100007.
Lim, Sunghoon, Conrad S. Tucker†, Kathryn Jablokow, and Bart Pursel. "A semantic network model for measuring engagement and performance in online learning platforms." Computer Applications in Engineering Education 26, no. 5 (2018): 1481-1492.
Tuarob, Suppawong, Sunghoon Lim, and Conrad S. Tucker†. "Automated Discovery of Product Feature Inferences within Large Scale Implicit Social Media Data." Journal of Computing and Information Science in Engineering 18, no. 2 (2018): 021017.
Lim, Sunghoon, and Conrad S. Tucker†. "Mitigating Online Product Rating Biases Through the Discovery of Optimistic, Pessimistic, and Realistic Reviewers." Journal of Mechanical Design 139, no. 11 (2017): 111409.
Lim, Sunghoon, Conrad S. Tucker†, and Soundar Kumara. "An unsupervised machine learning model for discovering latent infectious diseases using social media data." Journal of Biomedical Informatics 66 (2017): 82-94. Lim, Sunghoon, and Conrad S. Tucker†. "A Bayesian Sampling Method for Product Feature Extraction From Large-Scale Textual Data." Journal of Mechanical Design 138, no. 6 (2016): 061403.
Peer-reviewed Journal Publications: under review
(†: Corresponding Author, #: Equal Contribution)
Peer-reviewed Journal Publications: under review
(†: Corresponding Author, #: Equal Contribution)
Jeon, Sujin#, Soyeon Park#, Gyeongho Kim, Jiyeon Cheon, Sunghoon Lim†. “DOUBLE BLIND.” Expert Systems with Applications (Under Review)
Lim, Chansung#, Juhyun Kim#, Jiyeon Cheon, Gyeongho Kim†, Sunghoon Lim†. “Active learning for defect classification of wafer bin maps with near-out-of-distribution samples.” Advanced Engineering Informatics (Under Review)
Lim, Chansung, Gyeongho Kim†, and Sunghoon Lim†. "Open-set defect classification of wafer bin maps via multi-label evidential deep learning." Advanced Engineering Informatics (Under Review)
Lim, Chansung#, Juhyun Kim#, Jiyeon Cheon, Gyeongho Kim†, Sunghoon Lim†. “Active learning for defect classification of wafer bin maps with near-out-of-distribution samples.” Advanced Engineering Informatics (Under Review)
Lim, Chansung, Gyeongho Kim†, and Sunghoon Lim†. "Open-set defect classification of wafer bin maps via multi-label evidential deep learning." Advanced Engineering Informatics (Under Review)
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