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Toplam kayıt 5, listelenen: 1-5
Optimal dimensioning of retaining walls using explainable ensemble learning algorithms
(MDPI-Multidisciplinary Digital Publishing Institute, 2022)
This paper develops predictive models for optimal dimensions that minimize the construction cost associated with reinforced concrete retaining walls. Random Forest, Extreme Gradient Boosting (XGBoost), Categorical Gradient ...
Efficiency of deep neural networks for joint angle modeling in digital gait assessment
(Springer Open, 2021)
Reliability and user compliance of the applied sensor system are two key issues of digital healthcare and biomedical informatics. For gait assessment applications, accurate joint angle measurements are important. Inertial ...
Application of machine learning methods for pallet loading problem
(MDPI-Multidisciplinary Digital Publishing Institute, 2021)
Because of continuous competition in the corporate industrial sector, numerous companies are always looking for strategies to ensure timely product delivery to survive against their competitors. For this reason, logistics ...
Artificial intelligence and machine learning applications in agricultural supply chain: a critical commentary
(Fresenius Environmental Bulletin, 2021)
Integration of AI and ML technologies in the agricultural supply chain (ASC) is revolutionalizing, the domain by bringing in robust monitoring and prediction as well as quick decision-making abilities. A comprehensive ...
Optimum design of cylindrical walls using ensemble learning methods
(MDPI-Multidisciplinary Digital Publishing Institute, 2022)
The optimum cost of the structure design is one of the major goals of structural engineers. The availability of large datasets with preoptimized structural configurations can facilitate the process of optimum design ...