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Optimal dimensions of post-tensioned concrete cylindrical walls using harmony search and snsemble learning with SHAP
(2023)
The optimal design of prestressed concrete cylindrical walls is greatly beneficial for economic and environmental impact. However, the lack of the available big enough datasets for the
training of robust machine learning ...
Data-driven ensemble learning approach for optimal design of cantilever soldier pile retaining walls
(Elsevier, 2023)
Cantilever soldier pile retaining walls are used to ensure the stability of excavations. This paper deploys
ensemble machine learning algorithms towards achieving optimum design of these structures. A large dataset
was ...
Neural network predictive models for alkali-activated concrete carbon emission using metaheuristic optimization algorithms
(2023)
Due to environmental impacts and the need for energy efficiency, the cement industry aims
to make more durable and sustainable materials with less energy requirements without compromising
mechanical properties based on ...