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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 DateTitleAuthor(s)TypeViewAltmetrics
2023-11Bayesian-based uncertainty-aware tool-wear prediction model in end-milling process of titanium alloyKim, Gyeongho; Yang, Sang Min; Kim, Dong Min, et alARTICLE118 Bayesian-based uncertainty-aware tool-wear prediction model in end-milling process of titanium alloy
2023-07Developing a semi-supervised learning and ordinal classification framework for quality level prediction in manufacturingKim, Gyeongho; Choi, Jae Gyeong; Ku, Minjoo, et alARTICLE549 Developing a semi-supervised learning and ordinal classification framework for quality level prediction in manufacturing
2023-06Recent Advances in Applying Machine Learning and Deep Learning to Detect Upper Gastrointestinal Tract LesionsVania, Malinda; Tama, Bayu Adhi; Maulahela, Hasan, et alARTICLE436 Recent Advances in Applying Machine Learning and Deep Learning to Detect Upper Gastrointestinal Tract Lesions
2023-05Recent advances in the application of deep learning for fault diagnosis of rotating machinery using vibration signalsTama, Bayu Adhi; Vania, Malinda; Lee, Seungchul, et alARTICLE1109 Recent advances in the application of deep learning for fault diagnosis of rotating machinery using vibration signals
2022-12중소 제조기업의 경쟁력 강화를 위한 제조AI 핵심 정책과제 도출에 관한 연구김일중; 김우순; 김준영, et alARTICLE889 중소 제조기업의 경쟁력 강화를 위한 제조AI 핵심 정책과제 도출에 관한 연구
2022-12제조데이터 거래 플랫폼 구축을 위한 핵심 거래체계 도출에 관한 연구김일중; 채희수; 김진영, et alARTICLE234 제조데이터 거래 플랫폼 구축을 위한 핵심 거래체계 도출에 관한 연구
2022-10The Charging Infrastructure Design Problem with Electric Taxi Demand Prediction Using Convolutional LSTMHwang, Seong Wook; Lim, SunghoonARTICLE1304 The Charging Infrastructure Design Problem with Electric Taxi Demand Prediction Using Convolutional LSTM
2022-06Characterization of power demand and energy consumption for fused filament fabrication using CFR-PEEKKim, Kyudong; Noh, Heena; Park, Kijung, et alARTICLE735 Characterization of power demand and energy consumption for fused filament fabrication using CFR-PEEK
2022-06A Deep Learning-based Cryptocurrency Price Prediction Model That Uses On-chain DataKim, Gyeongho; Shin, Dong-Hyun; Choi, Jae Gyeong, et alARTICLE1218 A Deep Learning-based Cryptocurrency Price Prediction Model That Uses On-chain Data
2022-04An EfficientNet-Based Weighted Ensemble Model for Industrial Machine Malfunction Detection Using Acoustic SignalsTama, Bayu Adhi; Vania, Malinda; Kim, Iljung, et alARTICLE837 An EfficientNet-Based Weighted Ensemble Model for Industrial Machine Malfunction Detection Using Acoustic Signals
2022-04Development of an Interpretable Maritime Accident Prediction System Using Machine Learning TechniquesKim, Gyeongho; Lim, SunghoonARTICLE653 Development of an Interpretable Maritime Accident Prediction System Using Machine Learning Techniques
2022-03A TOPSIS-Inspired Ranking Method Using Constrained Crowd Opinions for Urban PlanningChatterjee, Sujoy; Lim, SunghoonARTICLE657 A TOPSIS-Inspired Ranking Method Using Constrained Crowd Opinions for Urban Planning
2021-12A deep learning-based time series model with missing value handling techniques to predict various types of liquid cargo trafficLim, Sunghoon; Kim, Sun Jun; Park, YoungJae, et alARTICLE914 A deep learning-based time series model with missing value handling techniques to predict various types of liquid cargo traffic
2021-12DAViS: a unified solution for data collection, analyzation, and visualization in real-time stock market predictionTuarob, Suppawong; Wettayakorn, Poom; Phetchai, Ponpat, et alARTICLE692 DAViS: a unified solution for data collection, analyzation, and visualization in real-time stock market prediction
2021-11Car crash detection using ensemble deep learning and multimodal data from dashboard camerasChoi, Jae Gyeong; Kong, Chan Woo; Kim, Gyeongho, et alARTICLE995 Car crash detection using ensemble deep learning and multimodal data from dashboard cameras
2021-09A Multimodal Deep Learning-Based Fault Detection Model for a Plastic Injection Molding ProcessKim, Gyeongho; Choi, Jae Gyeong; Ku, Minjoo, et alARTICLE659 A Multimodal Deep Learning-Based Fault Detection Model for a Plastic Injection Molding Process
2021-02A Stacking-Based Deep Neural Network Approach for Effective Network Anomaly DetectionTama, Bayu Adhi; Lim, SunghoonARTICLE889 A Stacking-Based Deep Neural Network Approach for Effective Network Anomaly Detection
2021-02Ensemble learning for intrusion detection systems: A systematic mapping study and cross-benchmark evaluationTama, Bayu Adhi; Lim, SunghoonARTICLE606 Ensemble learning for intrusion detection systems: A systematic mapping study and cross-benchmark evaluation
2020-10A Comparative Performance Evaluation of Classification Algorithms for Clinical Decision Support SystemsTama, Bayu Adhi; Lim, SunghoonARTICLE642 A Comparative Performance Evaluation of Classification Algorithms for Clinical Decision Support Systems
2020-05A Multi-Objective Differential Evolutionary Method for Constrained Crowd Judgment AnalysisChatterjee, Sujoy; Lim, SunghoonARTICLE958 A Multi-Objective Differential Evolutionary Method for Constrained Crowd Judgment Analysis

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