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Optimizing Data Preprocessing and Hyperparameter Tuning for Soil Organic Carbon Content Prediction Using Large Language Models: A Case Study of the Black Soil and Windblown Sandy Soil Regions in Northeast China.

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Title: Optimizing Data Preprocessing and Hyperparameter Tuning for Soil Organic Carbon Content Prediction Using Large Language Models: A Case Study of the Black Soil and Windblown Sandy Soil Regions in Northeast China.
Authors: Cui, Hao1, Chang, Xianmin2, Gang, Shuang3, gang_shuang@163.com
Source: Applied Sciences (2076-3417); Apr2026, Vol. 16 Issue 7, p3349, 20p
Database: Applied Science & Technology Source
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PubType: Academic Journal
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        Value: 10.3390/app16073349
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      – Code: eng
        Text: English
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        PageCount: 20
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      – TitleFull: Optimizing Data Preprocessing and Hyperparameter Tuning for Soil Organic Carbon Content Prediction Using Large Language Models: A Case Study of the Black Soil and Windblown Sandy Soil Regions in Northeast China.
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            NameFull: Cui, Hao
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            NameFull: Chang, Xianmin
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            NameFull: Gang, Shuang
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              Text: Apr2026
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              Y: 2026
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              Value: 16
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