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Mansour Baziar1, Mahmood Yousefi2, Vahide Oskoei3

  • 1Department of Environmental Health Engineering, Ferdows Faculty of Medical Sciences, Birjand University of Medical Sciences, Birjand, Iran.

Scientific reports
|April 26, 2025
PubMed
概括

机器学习准确地预测城市固体废物加热值,使用元素组成和干重. 含量是最重要的预测因素,其表现优于其他模型.

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