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

531 - 540 von 29230
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Artikel 531 Identifying risk factors for sarcopenia using machine learning: insights from multimodal data
Enthalten in European geriatric medicine 5.6.2025: 1-12 		Online Ressource
Artikel 532 Impact assessment of land-use and land-cover on urban heat waves using remote sensing and machine learning algorithms
Enthalten in International journal of environmental science and technology 5.6.2025: 1-14 		Online Ressource
Artikel 533 Reappraising machine learning models for vascular calcification in CKD: methodological concerns and clinical gaps
Enthalten in International urology and nephrology 5.6.2025: 1-2 		Online Ressource
Artikel 534 Topology in Biological Piezoelectric Materials
Enthalten in Advanced materials 04.06.2025. 33 S. 		Online Ressource
Artikel 535 A Review of Data-Driven Machine Learning Applications in Reservoir Petrophysics
Enthalten in The Arabian journal for science and engineering 4.6.2025: 1-35 		Online Ressource
Artikel 536 Advanced sound-based pest detection in agriculture using deep learning and adaptive optimization
Enthalten in International journal of information technology 4.6.2025: 1-11 		Online Ressource
Artikel 537 Advancements and future trends in machine learning for lung cancer: a comprehensive bibliometric analysis
Enthalten in Clinical and translational oncology 4.6.2025: 1-12 		Online Ressource
Artikel 538 An approach based on machine learning and mel-frequency cepstral coefficients for locating faults in transmission lines
Enthalten in Energy systems 4.6.2025: 1-28 		Online Ressource
Artikel 539 Anoikis-Related Genes Can Accurately Predict the Occurrence of Endometriosis: A Retrospective Cohort Study via Machine Learning Analysis
Enthalten in Biochemical genetics 4.6.2025: 1-20 		Online Ressource
Artikel 540 Answer to the Letter to the Editor of H. Daungsupawong, et al. concerning “A multimodal machine learning model integrating clinical and MRI data for predicting neurological outcomes following surgical treatment for cervical spinal cord injury” by Shimizu T, et al. (Eur Spine J [2025]: doi: 10.1007/s00586-025-08873-2)
Enthalten in European spine journal 4.6.2025: 1 		Online Ressource


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