Developing a boosted decision tree regression prediction model as a sustainable tool for compressive strength of environmentally friendly concrete
Author:
Publisher
Springer Science and Business Media LLC
Subject
Health, Toxicology and Mutagenesis,Pollution,Environmental Chemistry,General Medicine
Link
https://link.springer.com/content/pdf/10.1007/s11356-021-15662-z.pdf
Reference45 articles.
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3. Al-Shamiri AK, Yuan TF, Kim JH (2020) Non-tuned machine learning approach for predicting the compressive strength of high-performance concrete. Materials (Basel) 13:1–15. https://doi.org/10.3390/ma13051023
4. Aprianti E, Shafigh P, Bahri S, Farahani JN (2015) Supplementary cementitious materials origin from agricultural wastes - a review. Constr Build Mater 74:176–187
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