Random Forest-Based Algorithms for Prediction of Compressive Strength of Ambient-Cured AAB Concrete—A Comparison Study


Conference paper


Kruthi Kiran Ramagiri, Sriman Pankaj Boindala, Md Zaid, Arkamitra Kar
International Conference on Structural Engineering and Construction Management, Springer, 2021, pp. 717--725

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APA   Click to copy
Ramagiri, K. K., Boindala, S. P., Zaid, M., & Kar, A. (2021). Random Forest-Based Algorithms for Prediction of Compressive Strength of Ambient-Cured AAB Concrete—A Comparison Study. In International Conference on Structural Engineering and Construction Management (pp. 717–725). Springer.


Chicago/Turabian   Click to copy
Ramagiri, Kruthi Kiran, Sriman Pankaj Boindala, Md Zaid, and Arkamitra Kar. “Random Forest-Based Algorithms for Prediction of Compressive Strength of Ambient-Cured AAB Concrete—A Comparison Study.” In International Conference on Structural Engineering and Construction Management, 717–725. Springer, 2021.


MLA   Click to copy
Ramagiri, Kruthi Kiran, et al. “Random Forest-Based Algorithms for Prediction of Compressive Strength of Ambient-Cured AAB Concrete—A Comparison Study.” International Conference on Structural Engineering and Construction Management, Springer, 2021, pp. 717–25.


BibTeX   Click to copy

@inproceedings{ramagiri2021a,
  title = {Random Forest-Based Algorithms for Prediction of Compressive Strength of Ambient-Cured AAB Concrete—A Comparison Study},
  year = {2021},
  organization = {Springer},
  pages = {717--725},
  author = {Ramagiri, Kruthi Kiran and Boindala, Sriman Pankaj and Zaid, Md and Kar, Arkamitra},
  booktitle = {International Conference on Structural Engineering and Construction Management}
}


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