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Selection of Input Factors and Comparison of Machine Learning Models for Prediction of Dissolved Oxygen in Gyeongan Stream
Min Ji Kim, Seon Jeong Byeon, Kyung Min Kim, Johng-Hwa Ahn
J Korean Soc Environ Eng. 2021;43(3):206-217.   Published online 2021 March 31    DOI: https://doi.org/10.4491/KSEE.2021.43.3.206

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Semantic Stream Processing in Dynamic Environments Using Dynamic Stream Selection
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Machine Learning Models for Cultural Heritage Image Classification: Comparison Based on Attribute Selection
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Identification of Significant Climatic Risk Factors and Machine Learning Models in Dengue Outbreak Prediction
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Identification of Significant Climatic Risk Factors and Machine Learning Models in Dengue Outbreak Prediction
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Identification of Significant Climatic Risk Factors and Machine Learning Models in Dengue Outbreak Prediction
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Identification of Significant Climatic Risk Factors and Machine Learning Models in Dengue Outbreak Prediction
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Identification of Significant Climatic Risk Factors and Machine Learning Models in Dengue Outbreak Prediction
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Identification of Significant Climatic Risk Factors and Machine Learning Models in Dengue Outbreak Prediction
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Concentration estimation of dissolved oxygen in Pearl River Basin using input variable selection and machine learning techniques
Science of The Total Environment. 2020;731:139099   Crossref logo
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Epigenetic Target Prediction with Accurate Machine Learning Models
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