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在飞灰地质聚合物混凝土中有效的碳足迹评估策略基于自适应增强学习技术

Yakubu Sani Wudil1, Amin Al-Fakih2, Mohammed A Al-Osta2

  • 1Interdisciplinary Research Center for Construction and Building Materials, King Fahd University of Petroleum & Minerals, Dhahran, 31261, Saudi Arabia; Department of Physics, King Fahd University of Petroleum & Minerals, Saudi Arabia.

Environmental research
|December 8, 2024
PubMed
概括

本研究引入了一种机器学习方法,用于预测飞灰地质聚合物混凝土的二氧化碳足迹 (CO2-FP). 阿达布斯特-DTR模型实现了高精度,有助于可持续的建筑材料开发.

关键词:
碳 碳 碳 碳 碳 碳气候变化 气候变化 气候变化合唱团组合在一起.地质聚合物混凝土混凝土机器学习是机器学习.可持续发展 可持续性 可持续性

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