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Dmitrii Vladimirovich Ulrikh ORCID

The following bibliography contains all publications indexed in this database that are linked with this name as either author, editor or any other kind of contributor.

  1. Cavaleri, Liborio / Barkhordari, Mohammad Sadegh / Repapis, Constantinos C. / Armaghani, Danial Jahed / Ulrikh, Dmitrii Vladimirovich / Asteris, Panagiotis G. (2022): Convolution-based ensemble learning algorithms to estimate the bond strength of the corroded reinforced concrete. In: Construction and Building Materials, v. 359 (December 2022).

    https://doi.org/10.1016/j.conbuildmat.2022.129504

  2. Wang, Jiangfeng / Mohammed, Ahmed Salih / Macioszek, Elżbieta / Ali, Mujahid / Ulrikh, Dmitrii Vladimirovich / Fang, Qiancheng (2022): A Novel Combination of PCA and Machine Learning Techniques to Select the Most Important Factors for Predicting Tunnel Construction Performance. In: Buildings, v. 12, n. 7 (5 July 2022).

    https://doi.org/10.3390/buildings12070919

  3. Barkhordari, Mohammad Sadegh / Armaghani, Danial Jahed / Mohammed, Ahmed Salih / Ulrikh, Dmitrii Vladimirovich (2022): Data-Driven Compressive Strength Prediction of Fly Ash Concrete Using Ensemble Learner Algorithms. In: Buildings, v. 12, n. 2 (18 January 2022).

    https://doi.org/10.3390/buildings12020132

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