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Analyzing Internal and External Factors in Livestock Supply Forecasting Using Machine Learning: Sustainable Insights from South Korea.
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- Sustainability (2071-1050), 2024, v. 16, n. 16, p. 6907, doi. 10.3390/su16166907
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- Article
Generation of Time-Series Working Patterns for Manufacturing High-Quality Products through Auxiliary Classifier Generative Adversarial Network.
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- Sensors (14248220), 2022, v. 22, n. 1, p. 29, doi. 10.3390/s22010029
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- Article
Comparative Analysis of Predictive Models for Fine Particulate Matter in Daejeon, South Korea.
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- Atmosphere, 2021, v. 12, n. 10, p. 1295, doi. 10.3390/atmos12101295
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- Article
Feasibility Study on the Influence of Data Partition Strategies on Ensemble Deep Learning: The Case of Forecasting Power Generation in South Korea.
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- Energies (19961073), 2022, v. 15, n. 20, p. 7482, doi. 10.3390/en15207482
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- Article
SCE-LSTM: Sparse Critical Event-Driven LSTM Model with Selective Memorization for Agricultural Time-Series Prediction.
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- Agriculture; Basel, 2023, v. 13, n. 11, p. 2044, doi. 10.3390/agriculture13112044
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- Article
Incorporating Deep Learning and News Topic Modeling for Forecasting Pork Prices: The Case of South Korea.
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- Agriculture; Basel, 2020, v. 10, n. 11, p. 513, doi. 10.3390/agriculture10110513
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- Article