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Superior Performance of Extreme Gradient Boosting Model Combined with Affinity Propagation Clustering for Reliable Prediction of Permissible Exposure Limits of Hydrocarbons and Their Oxygen-Containing Derivatives.

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Title: Superior Performance of Extreme Gradient Boosting Model Combined with Affinity Propagation Clustering for Reliable Prediction of Permissible Exposure Limits of Hydrocarbons and Their Oxygen-Containing Derivatives.
Authors: Shi, Jingjie1, Zhang, Zixiang1, Wei, Yongde1, Zhao, Wei1, Yuan, Xiongjun1, yxj@cczu.edu.cn
Source: Applied Sciences (2076-3417); Nov2025, Vol. 15 Issue 21, p11642, 18p
Database: Applied Science & Technology Source
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  Data: Superior Performance of Extreme Gradient Boosting Model Combined with Affinity Propagation Clustering for Reliable Prediction of Permissible Exposure Limits of Hydrocarbons and Their Oxygen-Containing Derivatives.
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  Data: <searchLink fieldCode="AU" term="%22Shi%2C+Jingjie%22">Shi, Jingjie</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Zhang%2C+Zixiang%22">Zhang, Zixiang</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Wei%2C+Yongde%22">Wei, Yongde</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Zhao%2C+Wei%22">Zhao, Wei</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Yuan%2C+Xiongjun%22">Yuan, Xiongjun</searchLink><relatesTo>1</relatesTo>, <i>yxj@cczu.edu.cn</i>
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  Data: <searchLink fieldCode="JN" term="%22Applied+Sciences+%282076-3417%29%22">Applied Sciences (2076-3417)</searchLink>; Nov2025, Vol. 15 Issue 21, p11642, 18p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=189609717
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        Value: 10.3390/app152111642
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      – Code: eng
        Text: English
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      – TitleFull: Superior Performance of Extreme Gradient Boosting Model Combined with Affinity Propagation Clustering for Reliable Prediction of Permissible Exposure Limits of Hydrocarbons and Their Oxygen-Containing Derivatives.
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              M: 11
              Text: Nov2025
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              Y: 2025
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