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Lee Sangyeon
Department
Agriculture, Animal, Aquaculture & Ocean Intelligence Research Ce
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Type Year Title Cited Download
Journal
2024 LSTM model to predict missing data of dissolved oxygen in land‐based aquaculture farm   Sang‐Yeon Lee   ETRI Journal, v.46, no.6, pp.1047-1060 0
Conference
2024 Energy analysis for fish farming using digital twin   구자빈  한국해양생명과학회 정기총회 및 학술대회 2024, pp.1-29
Journal
2024 Status and Development of Physics-Informed Neural Network in agriculture field   이상연   전자통신동향분석, v.39, no.4, pp.42-53
Journal
2024 Applicability evaluation of a temperature humidity index-controlled ventilation system in livestock using a building energy simulation model   Hakjong Shin   Case Studies in Thermal Engineering, v.57, pp.1-13 2
Conference
2024 Concept of biosphere environment model: Real-time complex environments for greenhouse   Sang-yeon Lee   International Commission of Agricultural and Biosystems Engineering (CIGR) 2024, pp.1-1
Conference
2024 Uncertainty analysis of greenhouse cooling energy according to airflow speed   Hakjong Shin   International Commission of Agricultural and Biosystems Engineering (CIGR) 2024, pp.1-1
Journal
2023 Digital Twin-based Smart Aquafarm: Case Study   구자빈  한국통신학회논문지, v.48, no.11, pp.1479-1490 0
Conference
2023 Study on LSTM model for predicting the missing data of dissolved oxygen for aquaculture farm   이상연   한국 인공지능 학술대회 2023, pp.1-2
Journal
2023 Status and Development of Aquafarm based on Digital Twin   이상연   전자통신동향분석, v.38, no.3, pp.29-37