Modeling the Quantitative Assessment of the Condition of Bridge Components Made of Reinforced Concrete Using ANN
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- Yuliia Trach & Roman Trach & Marek Kalenik & Eugeniusz Koda & Anna Podlasek, 2021. "A Study of Dispersed, Thermally Activated Limestone from Ukraine for the Safe Liming of Water Using ANN Models," Energies, MDPI, vol. 14(24), pages 1-14, December.
- Samuel Y. O. Amakye & Samuel J. Abbey & Colin A. Booth & Jonathan Oti, 2022. "Performance of Sustainable Road Pavements Founded on Clay Subgrades Treated with Eco-Friendly Cementitious Materials," Sustainability, MDPI, vol. 14(19), pages 1-23, October.
- Grzegorz Wrzesiński & Anna Markiewicz, 2022. "Prediction of Permeability Coefficient k in Sandy Soils Using ANN," Sustainability, MDPI, vol. 14(11), pages 1-13, May.
- Youngjin Choi & Jinhyuk Lee & Jungsik Kong, 2020. "Performance Degradation Model for Concrete Deck of Bridge Using Pseudo-LSTM," Sustainability, MDPI, vol. 12(9), pages 1-19, May.
- Jan Kowalski & Mieczysław Połoński & Marzena Lendo-Siwicka & Roman Trach & Grzegorz Wrzesiński, 2021. "Method of Assessing the Risk of Implementing Railway Investments in Terms of the Cost of Their Implementation," Sustainability, MDPI, vol. 13(23), pages 1-11, November.
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- Roman Trach & Yuliia Trach & Marzena Lendo-Siwicka, 2021. "Using ANN to Predict the Impact of Communication Factors on the Rework Cost in Construction Projects," Energies, MDPI, vol. 14(14), pages 1-15, July.
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Keywords
bridge components; quantitative assessment; artificial neural network; inspection; bridge management system; road beam bridge; condition;All these keywords.
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