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24. Dezember 2025 bis 1. Januar 2026: Die Deutsche Nationalbibliothek bleibt an beiden Standorten geschlossen. Bestellte Medien werden am 2. Januar 2026 bereitgestellt. // 24 December 2025 to 1 January 2026: The German National Library will be closed at both locations. Ordered media will be made available on 2 January 2026.

Ergebnis der Suche nach: "Machine Learning"
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19061 - 19070 von 19327

	19061	Using CT radiomic features based on machine learning models to subtype adrenal adenoma Enthalten in BMC cancer Bd. 23, 31.1.2023, Nr. 1, date:12.2023: 1-12
	19062	Using digital archaeology and machine learning to determine sex in finger flutings Enthalten in Scientific reports Bd. 15, 16.10.2025, Nr. 1, date:12.2025: 1-14
	19063	Using distributed ledger technology for digital forensic investigation purposes on tendering projects Enthalten in International journal of information technology Bd. 15, 9.3.2023, Nr. 3, date:3.2023: 1255-1274
	19064	Using experimental data in computationally guided rational design of inorganic materials with machine learning Enthalten in Journal of materials research Bd. 40, 8.4.2025, Nr. 6, date:3.2025: 833-848
	19065	Using explainable machine learning and fitbit data to investigate predictors of adolescent obesity Enthalten in Scientific reports Bd. 14, 31.5.2024, Nr. 1, date:12.2024: 1-12
	19066	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.
	19067	Using graph machine learning to identify functioning in patients with low back pain in terms of ICF Enthalten in Scientific reports Bd. 15, 2.7.2025, Nr. 1, date:12.2025: 1-10
	19068	Using human brain activity to guide machine learning Enthalten in Scientific reports Bd. 8, 29.3.2018, Nr. 1, date:12.2018: 1-10
	19069	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
	19070	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