Katalog der Deutschen Nationalbibliothek

Neuigkeiten Donnerstag, 11. September 2025: Die Deutsche Nationalbibliothek öffnet wegen eines Beschäftigtentreffens an beiden Standorten erst um 15 Uhr. // Thursday, 11 September 2025: The German National Library will not open until 15:00 due to a staff meeting at both locations.
 
 
 


Ergebnis der Suche nach: "Machine Learning"
im Bestand: Gesamter Bestand

25891 - 25900 von 29199
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Artikel 25891 Predicting stroke severity of patients using interpretable machine learning algorithms
Enthalten in European journal of medical research Bd. 29, 14.11.2024, Nr. 1, date:12.2024: 1-23 		Online Ressource
Artikel 25892 Predicting submerged vegetation drag with a machine learning-based method
Enthalten in Journal of hydrodynamics / B Bd. 36, 5.7.2024, Nr. 3, date:6.2024: 534-545 		Online Ressource
Artikel 25893 Predicting subnational GDP in Vietnam with remote sensing data: a machine learning approach
Enthalten in Letters in spatial and resource sciences Bd. 18, 20.3.2025, Nr. 1, date:12.2025: 1-12 		Online Ressource
Artikel 25894 Predicting suicidal behavior outcomes: an analysis of key factors and machine learning models
Enthalten in BMC psychiatry Bd. 24, 21.11.2024, Nr. 1, date:12.2024: 1-12 		Online Ressource
Artikel 25895 Predicting sulfur dioxide deposition in microclimates using machine learning and reanalysis data
Enthalten in Modeling earth systems and environment Bd. 11, 27.2.2025, Nr. 2, date:4.2025: 1-10 		Online Ressource
Artikel 25896 Predicting superconducting transition temperature through advanced machine learning and innovative feature engineering
Enthalten in Scientific reports Bd. 14, 17.2.2024, Nr. 1, date:12.2024: 1-12 		Online Ressource
Artikel 25897 Predicting surface roughness in dry machining of AISI H13 steel: a comparison of machine learning and GPT-based models with ceramic cutting tool
Enthalten in The international journal of advanced manufacturing technology Bd. 138, 10.5.2025, Nr. 5-6, date:5.2025: 2121-2138 		Online Ressource
Artikel 25898 Predicting surface roughness of carbon/phenolic composites in extreme environments using machine learning
Enthalten in Acta mechanica Sinica Bd. 41, 20.8.2024, Nr. 4, date:4.2025: 1-16 		Online Ressource
Artikel 25899 Predicting surface soil pH spatial distribution based on three machine learning methods: a case study of Heilongjiang Province
Enthalten in Environmental monitoring and assessment Bd. 197, 8.3.2025, Nr. 4, date:4.2025: 1-16 		Online Ressource
Artikel 25900 Predicting survival in glioblastoma with multimodal neuroimaging and machine learning
Enthalten in Journal of neuro-oncology Bd. 164, 5.9.2023, Nr. 2, date:9.2023: 309-320 		Online Ressource


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