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임성훈
Lim, Sunghoon

임성훈

Department of Industrial Engineering(산업공학과)

  • Industrial Intelligence Lab.
  • Website
Research Interests
Artificial Intelligence (AI);Machine Learning;Industrial Artificial Intelligence;기계학습;인공지능;산업인공지능
Lab Description
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.
Researcher ID Research Gate ORCiD Scopus Google Scholar
Previous
Developing a data-driven system for grinding process parameter optimization using machine learning and metaheuristic algorithms File

Kim, Gyeongho , Park, Soyeon , Choi, Jae Gyeong , Yang, Sang Min , Park, Hyung Wook , Lim, Sunghoon

Article Issue Date2024-07 View6
Multimodal 1D CNN for delamination prediction in CFRP drilling process with industrial robots File

Choi, Jae Gyeong , Kim, Dong Chan , Chung, Miyoung , Lim, Sunghoon , Park, Hyung Wook

Article Issue Date2024-04 View14
A multi-domain mixture density network for tool wear prediction under multiple machining conditions File File

Kim, Gyeongho , Yang, Sang Min , Kim, Sinwon , Kim, Do Young , Choi, Jae Gyeong , Park, Hyung Wook , Lim, Sunghoon

Article Issue Date2023-12 View23
Bayesian-based uncertainty-aware tool-wear prediction model in end-milling process of titanium alloy File File

Kim, Gyeongho , Yang, Sang Min , Kim, Dong Min , Kim, Sinwon , Choi, Jae Gyeong , Ku, Minjoo , Lim, Sunghoon , Park, Hyung Wook

Article Issue Date2023-11 View37
Developing a semi-supervised learning and ordinal classification framework for quality level prediction in manufacturing File

Kim, Gyeongho , Choi, Jae Gyeong , Ku, Minjoo , Lim, Sunghoon

Article Issue Date2023-07 View20
Recent Advances in Applying Machine Learning and Deep Learning to Detect Upper Gastrointestinal Tract Lesions File

Vania, Malinda , Tama, Bayu Adhi , Maulahela, Hasan , Lim, Sunghoon

Article Issue Date2023-06 View14
Recent advances in the application of deep learning for fault diagnosis of rotating machinery using vibration signals File

Tama, Bayu Adhi , Vania, Malinda , Lee, Seungchul , Lim, Sunghoon

Article Issue Date2023-05 View15
중소 제조기업의 경쟁력 강화를 위한 제조AI 핵심 정책과제 도출에 관한 연구 File

김일중 , 김우순 , 김준영 , 채희수 , 우지영 , 도경민 , 임성훈 , 신민수 , 이지은 , 김흥남

Article Issue Date2022-12 View17
제조데이터 거래 플랫폼 구축을 위한 핵심 거래체계 도출에 관한 연구 File

김일중 , 채희수 , 김진영 , 최호선 , 박성필 , 임성훈 , 신민수 , 김흥남

Article Issue Date2022-12 View13
The Charging Infrastructure Design Problem with Electric Taxi Demand Prediction Using Convolutional LSTM File

Hwang, Seong Wook , Lim, Sunghoon

Article Issue Date2022-10 View13
Characterization of power demand and energy consumption for fused filament fabrication using CFR-PEEK File

Kim, Kyudong , Noh, Heena , Park, Kijung , Jeon, Hyun Woo , Lim, Sunghoon

Article Issue Date2022-06 View16
A Deep Learning-based Cryptocurrency Price Prediction Model That Uses On-chain Data File File

Kim, Gyeongho , Shin, Dong-Hyun , Choi, Jae Gyeong , Lim, Sunghoon

Article Issue Date2022-06 View15
Development of an Interpretable Maritime Accident Prediction System Using Machine Learning Techniques File

Kim, Gyeongho , Lim, Sunghoon

Article Issue Date2022-04 View16
An EfficientNet-Based Weighted Ensemble Model for Industrial Machine Malfunction Detection Using Acoustic Signals File File

Tama, Bayu Adhi , Vania, Malinda , Kim, Iljung , Lim, Sunghoon

Article Issue Date2022-04 View11
A TOPSIS-Inspired Ranking Method Using Constrained Crowd Opinions for Urban Planning File File

Chatterjee, Sujoy , Lim, Sunghoon

Article Issue Date2022-03 View15
A deep learning-based time series model with missing value handling techniques to predict various types of liquid cargo traffic File

Lim, Sunghoon , Kim, Sun Jun , Park, YoungJae , Kwon, Nahyun

Article Issue Date2021-12 View18
DAViS: a unified solution for data collection, analyzation, and visualization in real-time stock market prediction File

Tuarob, Suppawong , Wettayakorn, Poom , Phetchai, Ponpat , Traivijitkhun, Siripong , Lim, Sunghoon , Noraset, Thanapon , Thaipisutikul, Tipajin

Article Issue Date2021-12 View17
Car crash detection using ensemble deep learning and multimodal data from dashboard cameras File

Choi, Jae Gyeong , Kong, Chan Woo , Kim, Gyeongho , Lim, Sunghoon

Article Issue Date2021-11 View30
A Multimodal Deep Learning-Based Fault Detection Model for a Plastic Injection Molding Process File File

Kim, Gyeongho , Choi, Jae Gyeong , Ku, Minjoo , Cho, Hyewon , Lim, Sunghoon

Article Issue Date2021-09 View16
A Stacking-Based Deep Neural Network Approach for Effective Network Anomaly Detection File File

Tama, Bayu Adhi , Lim, Sunghoon

Article Issue Date2021-02 View11
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