Katalog der Deutschen Nationalbibliothek

Ergebnis der Suche nach: "Machine Learning"
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43291 - 43300 von 43746

	43291	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
	43292	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
	43293	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
	43294	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
	43295	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.
	43296	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
	43297	Using human brain activity to guide machine learning Enthalten in Scientific reports Bd. 8, 29.3.2018, Nr. 1, date:12.2018: 1-10
	43298	Using Information about Influencing Factors to Split Data Samples in Machine Learning Methods for the Purposes of Assessing Information Security Enthalten in Automatic control and computer sciences Bd. 56, 28.2.2023, Nr. 8, date:12.2022: 981-987
	43299	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
	43300	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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