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25961 |
Prediction and optimization of stretch flangeability of advanced high strength steels utilizing machine learning approaches
Enthalten in Scientific reports Bd. 15, 10.5.2025, Nr. 1, date:12.2025: 1-21
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25962 |
Prediction and parametric assessment of soil one-dimensional vertical free swelling potential using ensemble machine learning models
Enthalten in Advanced modeling and simulation in engineering sciences Bd. 11, 27.12.2024, Nr. 1, date:12.2024: 1-20
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25963 |
Prediction and risk assessment of sepsis-associated encephalopathy in ICU based on interpretable machine learning
Enthalten in Scientific reports Bd. 12, 31.12.2022, Nr. 1, date:12.2022: 1-11
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25964 |
Prediction and unsupervised clustering of fertility intention among migrant workers based on machine learning: a cross-sectional survey from Henan, China
Enthalten in BMC public health Bd. 25, 14.1.2025, Nr. 1, date:12.2025: 1-9
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25965 |
Prediction and validation of fire parameters for a self-extinguishing and smoke suppressant electrospun PVP-based multilayer material through machine learning models
Enthalten in Journal of materials science Bd. 60, 28.12.2024, Nr. 2, date:1.2025: 1019-1040
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25966 |
Prediction and validation of mechanical properties of self-compacting geopolymer concrete using combined machine learning methods a comparative and suitability assessment of the best analysis
Enthalten in Scientific reports Bd. 15, 21.2.2025, Nr. 1, date:12.2025: 1-53
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25967 |
Prediction for nonlinear time series by improved deep echo state network based on reservoir states reconstruction
Enthalten in Autonomous intelligent systems Bd. 4, 21.2.2024, Nr. 1, date:12.2024: 1-11
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25968 |
Prediction model for cardiovascular disease in patients with diabetes using machine learning derived and validated in two independent Korean cohorts
Enthalten in Scientific reports Bd. 14, 28.6.2024, Nr. 1, date:12.2024: 1-11
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25969 |
Prediction model for compressive strength of rice husk ash blended sandcrete blocks using a machine learning models
Enthalten in Asian journal of civil engineering Bd. 25, 24.5.2024, Nr. 6, date:9.2024: 4745-4758
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25970 |
Prediction model for corrosion rate of low-alloy steels under atmospheric conditions using machine learning algorithms
Enthalten in International journal of minerals, metallurgy and materials Bd. 31, 17.2.2024, Nr. 2, date:2.2024: 337-350
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