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Predicting Compressive Strength of High-Performance Concrete Using Metaheuristic-Optimized Least Squares Support Vector Regression
Publisher: American Society of Civil Engineers
Abstract: This research establishes a novel model for predicting high-performance concrete (HPC) compressive strength, which hybridizes the firefly algorithm (FA) and the least squares support vector regression (LS-SVR). The LS-SVR ...
Shear Strength Prediction in Reinforced Concrete Deep Beams Using Nature-Inspired Metaheuristic Support Vector Regression
Publisher: American Society of Civil Engineers
Abstract: The shear strength of reinforced concrete (RC) deep beams is a dynamic phenomenon that varies with many mechanical and geometrical factors. Accurately estimating shear strength in RC deep beams is a vital issue in engineering ...
Shear Strength Prediction in Reinforced Concrete Deep Beams Using Nature-Inspired Metaheuristic Support Vector Regression
Publisher: American Society of Civil Engineers
Abstract: The shear strength of reinforced concrete (RC) deep beams is a dynamic phenomenon that varies with many mechanical and geometrical factors. Accurately estimating shear strength in RC deep beams is a vital issue in engineering ...
Predicting Compressive Strength of High-Performance Concrete Using Metaheuristic-Optimized Least Squares Support Vector Regression
Publisher: American Society of Civil Engineers
Abstract: This research establishes a novel model for predicting high-performance concrete (HPC) compressive strength, which hybridizes the firefly algorithm (FA) and the least squares support vector regression (LS-SVR). The LS-SVR ...
Project Management Knowledge of Construction Professionals: Cross-Country Study of Effects on Project Success
Publisher: American Society of Civil Engineers
Abstract: This multinational study of the contribution of the Project Management Body of Knowledge (PMBOK) to the success of construction engineering projects was performed to reveal cross-country similarities and differences. A ...
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