Dmitrii Vladimirovich Ulrikh 
- (2022): Convolution-based ensemble learning algorithms to estimate the bond strength of the corroded reinforced concrete. In: Construction and Building Materials, v. 359 (Dezember 2022).
- (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 Juli 2022).
- (2022): Data-Driven Compressive Strength Prediction of Fly Ash Concrete Using Ensemble Learner Algorithms. In: Buildings, v. 12, n. 2 (18 Januar 2022).
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