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25991 |
Prediction of compressive strength of concrete doped with waste plastic using machine learning-based advanced regularized regression models
Enthalten in Asian journal of civil engineering Bd. 26, 14.2.2025, Nr. 4, date:4.2025: 1723-1741
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25992 |
Prediction of compressive strength of concrete under various curing conditions: a comparison of machine learning models and empirical mathematical models
Enthalten in Innovative infrastructure solutions Bd. 9, 21.6.2024, Nr. 7, date:7.2024: 1-15
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25993 |
Prediction of compressive strength of fiber-reinforced concrete containing silica (SiO2) based on metaheuristic optimization algorithms and machine learning techniques
Enthalten in Scientific reports Bd. 15, 4.6.2025, Nr. 1, date:12.2025: 1-16
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25994 |
Prediction of compressive strength of granite: use of machine learning techniques and intelligent system
Enthalten in Earth science informatics Bd. 16, 15.11.2023, Nr. 4, date:12.2023: 4113-4129
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25995 |
Prediction of compressive strength of high-performance concrete using optimization machine learning approaches with SHAP analysis
Enthalten in Journal of building pathology and rehabilitation Bd. 9, 24.5.2024, Nr. 2, date:12.2024: 1-20
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25996 |
Prediction of contraceptive discontinuation among reproductive-age women in Ethiopia using Ethiopian Demographic and Health Survey 2016 Dataset: A Machine Learning Approach
Enthalten in BMC medical informatics and decision making Bd. 23, 17.1.2023, Nr. 1, date:12.2023: 1-17
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25997 |
Prediction of contrast-associated acute kidney injury with machine-learning in patients undergoing contrast-enhanced computed tomography in emergency department
Enthalten in Scientific reports Bd. 15, 27.2.2025, Nr. 1, date:12.2025: 1-12
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25998 |
Prediction of coronary artery lesions in children with Kawasaki syndrome based on machine learning
Enthalten in BMC pediatrics Bd. 24, 5.3.2024, Nr. 1, date:12.2024: 1-9
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25999 |
Prediction of coronary heart disease based on klotho levels using machine learning
Enthalten in Scientific reports Bd. 15, 27.5.2025, Nr. 1, date:12.2025: 1-8
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26000 |
Prediction of COVID-19 patients’ participation in financing informal care using machine learning methods: willingness to pay and willingness to accept approaches
Enthalten in BMC health services research Bd. 24, 10.7.2024, Nr. 1, date:12.2024: 1-13
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