Assessment of ML techniques and suitability to predict the compressive strength of high-performance concrete (HPC)
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Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s42107-024-01142-5.pdf
Reference42 articles.
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2. Ahmad, A., Ostrowski, K. A., Maślak, M., Farooq, F., Mehmood, I., & Nafees, A. (2021). Comparative study of supervised machine learning algorithms for predicting the compressive strength of concrete at high temperature. Materials. https://doi.org/10.3390/ma14154222
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5. Ibrahim, A., Zukri, N. A. Z. M., Ismail, B. N., Osman, M. K., Yusof, N. A. M., Idris, M., Rabian, A. H., & Bahri, I. (2021). Flexible pavement crack’s severity identification and classification using deep convolution neural network. Journal of Mechanical Engineering, 18(2), 193–201. https://doi.org/10.24191/jmeche.v18i2.15154
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