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Lim, Sunghoon (임성훈)

Department: Department of Industrial Engineering(산업공학과)

Website: http://sunghoonlim.unist.ac.kr

Lab: Industrial Intelligence Lab. (산업지능 연구실)

Research Keywords: 기계학습, 인공지능, 산업인공지능, Artificial Intelligence (AI), Machine Learning, Industrial Artificial Intelligence

Research Interests: Research at Industrial Intelligence Laboratory"Development of machine learning models for effective knowledge discovery from the real industry" TopicsMachine Learning / Deep Learning(Unstructured) Data MiningIndustrial Artificial Intelligence (AI+X)Computer VisionSocial Network Analysis / CrowdsourcingApplicationsManufacturing (e.g., Smart Factory, Predictive Maintenance, Anomaly Detection, Additive Manufacturing)Safety Management (e.g., Car Crash Detection)Customer Feedback Analysis Using Online Data (e.g., Social Media, Online Customer Reviews, Recommender Systems)Healthcare (e.g., Disease Discovery)etc.

This table browses all dspace content
Issue Date	Title	Author(s)	Type	View	Altmetrics
2023-11	Bayesian-based uncertainty-aware tool-wear prediction model in end-milling process of titanium alloy	Kim, Gyeongho; Yang, Sang Min; Kim, Dong Min, et al	ARTICLE	118	Bayesian-based uncertainty-aware tool-wear prediction model in end-milling process of titanium alloy
2023-07	Developing a semi-supervised learning and ordinal classification framework for quality level prediction in manufacturing	Kim, Gyeongho; Choi, Jae Gyeong; Ku, Minjoo, et al	ARTICLE	549	Developing a semi-supervised learning and ordinal classification framework for quality level prediction in manufacturing
2023-06	Recent Advances in Applying Machine Learning and Deep Learning to Detect Upper Gastrointestinal Tract Lesions	Vania, Malinda; Tama, Bayu Adhi; Maulahela, Hasan, et al	ARTICLE	436	Recent Advances in Applying Machine Learning and Deep Learning to Detect Upper Gastrointestinal Tract Lesions
2023-05	Recent advances in the application of deep learning for fault diagnosis of rotating machinery using vibration signals	Tama, Bayu Adhi; Vania, Malinda; Lee, Seungchul, et al	ARTICLE	1109	Recent advances in the application of deep learning for fault diagnosis of rotating machinery using vibration signals
2022-12	중소 제조기업의 경쟁력 강화를 위한 제조AI 핵심 정책과제 도출에 관한 연구	김일중; 김우순; 김준영, et al	ARTICLE	889	중소 제조기업의 경쟁력 강화를 위한 제조AI 핵심 정책과제 도출에 관한 연구
2022-12	제조데이터 거래 플랫폼 구축을 위한 핵심 거래체계 도출에 관한 연구	김일중; 채희수; 김진영, et al	ARTICLE	234	제조데이터 거래 플랫폼 구축을 위한 핵심 거래체계 도출에 관한 연구
2022-10	The Charging Infrastructure Design Problem with Electric Taxi Demand Prediction Using Convolutional LSTM	Hwang, Seong Wook; Lim, Sunghoon	ARTICLE	1304	The Charging Infrastructure Design Problem with Electric Taxi Demand Prediction Using Convolutional LSTM
2022-06	Characterization of power demand and energy consumption for fused filament fabrication using CFR-PEEK	Kim, Kyudong; Noh, Heena; Park, Kijung, et al	ARTICLE	735	Characterization of power demand and energy consumption for fused filament fabrication using CFR-PEEK
2022-06	A Deep Learning-based Cryptocurrency Price Prediction Model That Uses On-chain Data	Kim, Gyeongho; Shin, Dong-Hyun; Choi, Jae Gyeong, et al	ARTICLE	1218	A Deep Learning-based Cryptocurrency Price Prediction Model That Uses On-chain Data
2022-04	An EfficientNet-Based Weighted Ensemble Model for Industrial Machine Malfunction Detection Using Acoustic Signals	Tama, Bayu Adhi; Vania, Malinda; Kim, Iljung, et al	ARTICLE	837	An EfficientNet-Based Weighted Ensemble Model for Industrial Machine Malfunction Detection Using Acoustic Signals
2022-04	Development of an Interpretable Maritime Accident Prediction System Using Machine Learning Techniques	Kim, Gyeongho; Lim, Sunghoon	ARTICLE	653	Development of an Interpretable Maritime Accident Prediction System Using Machine Learning Techniques
2022-03	A TOPSIS-Inspired Ranking Method Using Constrained Crowd Opinions for Urban Planning	Chatterjee, Sujoy; Lim, Sunghoon	ARTICLE	657	A TOPSIS-Inspired Ranking Method Using Constrained Crowd Opinions for Urban Planning
2021-12	A deep learning-based time series model with missing value handling techniques to predict various types of liquid cargo traffic	Lim, Sunghoon; Kim, Sun Jun; Park, YoungJae, et al	ARTICLE	914	A deep learning-based time series model with missing value handling techniques to predict various types of liquid cargo traffic
2021-12	DAViS: a unified solution for data collection, analyzation, and visualization in real-time stock market prediction	Tuarob, Suppawong; Wettayakorn, Poom; Phetchai, Ponpat, et al	ARTICLE	692	DAViS: a unified solution for data collection, analyzation, and visualization in real-time stock market prediction
2021-11	Car crash detection using ensemble deep learning and multimodal data from dashboard cameras	Choi, Jae Gyeong; Kong, Chan Woo; Kim, Gyeongho, et al	ARTICLE	995	Car crash detection using ensemble deep learning and multimodal data from dashboard cameras
2021-09	A Multimodal Deep Learning-Based Fault Detection Model for a Plastic Injection Molding Process	Kim, Gyeongho; Choi, Jae Gyeong; Ku, Minjoo, et al	ARTICLE	659	A Multimodal Deep Learning-Based Fault Detection Model for a Plastic Injection Molding Process
2021-02	A Stacking-Based Deep Neural Network Approach for Effective Network Anomaly Detection	Tama, Bayu Adhi; Lim, Sunghoon	ARTICLE	889	A Stacking-Based Deep Neural Network Approach for Effective Network Anomaly Detection
2021-02	Ensemble learning for intrusion detection systems: A systematic mapping study and cross-benchmark evaluation	Tama, Bayu Adhi; Lim, Sunghoon	ARTICLE	606	Ensemble learning for intrusion detection systems: A systematic mapping study and cross-benchmark evaluation
2020-10	A Comparative Performance Evaluation of Classification Algorithms for Clinical Decision Support Systems	Tama, Bayu Adhi; Lim, Sunghoon	ARTICLE	642	A Comparative Performance Evaluation of Classification Algorithms for Clinical Decision Support Systems
2020-05	A Multi-Objective Differential Evolutionary Method for Constrained Crowd Judgment Analysis	Chatterjee, Sujoy; Lim, Sunghoon	ARTICLE	958	A Multi-Objective Differential Evolutionary Method for Constrained Crowd Judgment Analysis

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