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11601 |
Prediction of the effects of small molecules on the gut microbiome using machine learning method integrating with optimal molecular features Enthalten in BMC bioinformatics Bd. 24, 12.9.2023, Nr. 1, date:12.2023: 1-16
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11602 |
Prediction of the Extent of Blood–Brain Barrier Transport Using Machine Learning and Integration into the LeiCNS-PK3.0 Model Enthalten in Pharmaceutical research Bd. 42, 10.2.2025, Nr. 2, date:2.2025: 281-289
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11603 |
Prediction of the fatigue curve of high-strength steel resistance spot welding joints by finite element analysis and machine learning Enthalten in The international journal of advanced manufacturing technology Bd. 128, 11.8.2023, Nr. 5-6, date:9.2023: 2763-2779
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11604 |
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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11605 |
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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11606 |
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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11607 |
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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11608 |
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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11609 |
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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11610 |
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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