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Ergebnis der Suche nach: "Machine Learning"
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15601 - 15610 von 17194

	15601	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
	15602	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
	15603	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
	15604	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
	15605	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
	15606	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
	15607	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.
	15608	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
	15609	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
	15610	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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