Katalog der Deutschen Nationalbibliothek

Ergebnis der Suche nach: "Machine Learning"
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43291 - 43300 von 43750

	43291	Using blood routine indicators to establish a machine learning model for predicting liver fibrosis in patients with Schistosoma japonicum Enthalten in Scientific reports Bd. 14, 20.5.2024, Nr. 1, date:12.2024: 1-9
	43292	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
	43293	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
	43294	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
	43295	Using edge detection techniques and machine learning classifications for accurate lithological discrimination and structure lineaments extraction: a comparative case study from Gattar area, Northern Eastern Desert of Egypt Enthalten in Arabian journal of geosciences Bd. 16, 26.10.2023, Nr. 11, date:11.2023: 1-25
	43296	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
	43297	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
	43298	Using explainable machine learning to predict compressive strength of blended concrete: a data-driven metaheuristic approach Enthalten in Asian journal of civil engineering Bd. 25, 27.6.2023, Nr. 1, date:1.2024: 219-236
	43299	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.
	43300	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

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