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26141 |
Prediction of the functional outcome of intensive inpatient rehabilitation after stroke using machine learning methods
Enthalten in Scientific reports Bd. 15, 8.5.2025, Nr. 1, date:12.2025: 1-11
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26142 |
Prediction of the higher heating values of biomass using machine learning methods based on proximate and ultimate analysis
Enthalten in Journal of mechanical science and technology Bd. 38, 12.3.2024, Nr. 3, date:3.2024: 1569-1574
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26143 |
Prediction of the indoor climate in cultural heritage buildings through machine learning: first results from two field tests
Enthalten in Heritage Science Bd. 10, 28.10.2022, Nr. 1, date:12.2022: 1-12
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26144 |
Prediction of the Ki-67 expression level in head and neck squamous cell carcinoma with machine learning-based multiparametric MRI radiomics: a multicenter study
Enthalten in BMC cancer Bd. 24, 5.4.2024, Nr. 1, date:12.2024: 1-14
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26145 |
Prediction of the lattice constants of pyrochlore compounds using machine learning
Enthalten in Soft computing Bd. 26, 27.6.2022, Nr. 17, date:9.2022: 8307-8315
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26146 |
Prediction of the local buckling strength and load‐displacement behaviour of SHS and RHS members using Deep Neural Networks (DNN) – Introduction to the Deep Neural Network Direct Stiffness Method (DNN‐DSM)
Enthalten in Steel construction Bd. 15, 2022, Nr. S1, Hollow Sections: 78-90. 13 S.
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26147 |
Prediction of the packaging chemical migration into food and water by cutting-edge machine learning techniques
Enthalten in Scientific reports Bd. 15, 6.3.2025, Nr. 1, date:12.2025: 1-12
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26148 |
Prediction of the R 3 Test-Based Reactivity of Supplementary Cementitious Materials: A Machine Learning Approach Utilizing Physical and Chemical Properties
Enthalten in International journal of concrete structures and materials Bd. 18, 1.11.2024, Nr. 1, date:12.2024: 1-22
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26149 |
Prediction of the rate of penetration using logistic regression algorithm of machine learning model
Enthalten in Arabian journal of geosciences Bd. 14, 28.10.2021, Nr. 21, date:11.2021: 1-13
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26150 |
Prediction of the Risk of Adverse Clinical Outcomes with Machine Learning Techniques in Patients with Noncommunicable Diseases
Enthalten in Journal of medical systems Bd. 49, 3.2.2025, Nr. 1, date:12.2025: 1-13
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