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

16731 - 16740 von 16964
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Artikel 16731 USING GIS DATA AND MACHINE LEARNING FOR MINERAL MAPPING. STUDY CASE, BOU SKOUR EASTERN ANTI-ATLAS, MOROCCO
Enthalten in The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences Bd. XLVIII-4/W6-2022, 2023: 423-430. 8 S.
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Artikel 16732 Using human brain activity to guide machine learning
Enthalten in Scientific reports Bd. 8, 29.3.2018, Nr. 1, date:12.2018: 1-10
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Artikel 16733 Using informative features in machine learning based method for COVID-19 drug repurposing
Enthalten in Journal of cheminformatics Bd. 13, 20.9.2021, Nr. 1, date:12.2021: 1-14
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Artikel 16734 Using interpretable machine learning methods to identify the relative importance of lifestyle factors for overweight and obesity in adults: pooled evidence from CHNS and NHANES
Enthalten in BMC public health Bd. 24, 1.11.2024, Nr. 1, date:12.2024: 1-15
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Artikel 16735 Using Jupyter Notebooks for re-training machine learning models
Enthalten in Journal of cheminformatics Bd. 14, 13.8.2022, Nr. 1, date:12.2022: 1-9
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Artikel 16736 Using machine learning algorithm to analyse the hypothyroidism complications caused by radiotherapy in patients with head and neck cancer
Enthalten in Scientific reports Bd. 13, 6.11.2023, Nr. 1, date:12.2023: 1-10
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Artikel 16737 Using machine learning algorithms to enhance IoT system security
Enthalten in Scientific reports Bd. 14, 27.5.2024, Nr. 1, date:12.2024: 1-19
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Artikel 16738 Using machine learning algorithms to guide rehabilitation planning for home care clients
Enthalten in BMC medical informatics and decision making Bd. 7, 20.12.2007, Nr. 1, date:12.2007: 1-13
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Artikel 16739 Using machine learning algorithms to identify genes essential for cell survival
Enthalten in BMC bioinformatics Bd. 18, 3.10.2017, Nr. 11, date:10.2017: 19-29
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Artikel 16740 Using machine learning and a data-driven approach to identify the small fatigue crack driving force in polycrystalline materials
Enthalten in npj computational materials Bd. 4, 16.7.2018, Nr. 1, date:12.2018: 1-10
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