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Sangil Lee

Department: Postal & Logistics Technology Research Center

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KSP Keywords: Gross Domestic Product Best Prediction Convolution Neural Network(CNN) Long-Short Term Memory(LSTM) Demand Forecasting Model Integrated Data Logistics Industry South Korea Recommendation Model Distribution Companies Recurrent Neural Network(RNN) Deep Learning Models Business Competitiveness Digital Innovation Multi-Layer Proposed Model Collaborative Filtering(CF) Data Management Learning-Based Sales Transaction Data

Articles (3)
Patents (0)
Technology Transfer (0)
R&D Reports (0)
Standards (0)
Monographs/Talk (0)

논문 검색결과
Type	Year	Title	Cited	Download
Journal	2024	Structural Representation of VTOL Drone Flight Route using Nested Graph Structure and Analysis of Its Time Attributes 유영웅 한국산업경영시스템학회지, v.47, no.2, pp.176-189
Journal	2024	Development of the Demand Forecasting and Product Recommendation Method to Support the Small and Medium Distribution Companies based on the Product Recategorization 이상일 한국산업경영시스템학회지, v.47, no.2, pp.155-167
Conference	2023	Development of the Demand Forecasting Method to Support the Small and Medium Distribution Companies 이상일 한국산업경영시스템학회 학술 대회 (추계) 2023, pp.263-276

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