Katalog der Deutschen Nationalbibliothek

Ergebnis der Suche nach: "Machine Learning"
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32921 - 32930 von 33405

	32921	Use of machine learning to identify novel, behaviorally active antagonists of the insect odorant receptor co-receptor (Orco) subunit Enthalten in Scientific reports Bd. 9, 11.3.2019, Nr. 1, date:12.2019: 1-18
	32922	Use of machine learning to identify patients at risk of sub-optimal adherence: study based on real-world data from 10,929 children using a connected auto-injector device Enthalten in BMC medical informatics and decision making Bd. 22, 6.7.2022, Nr. 1, date:12.2022: 1-12
	32923	Use of machine learning to improve the estimation of conductivity and permittivity based on longitudinal relaxation time T1 in magnetic resonance at 7 T Enthalten in Scientific reports Bd. 13, 15.5.2023, Nr. 1, date:12.2023: 1-17
	32924	Use of machine learning to predict creativity among nurses: a multidisciplinary approach Enthalten in BMC nursing Bd. 24, 15.5.2025, Nr. 1, date:12.2025: 1-12
	32925	USE OF MULTIVARIATE MACHINE LEARNING ANALYSIS TECHNIQUES FOR FLOOD RISK PREVENTION Enthalten in The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences Bd. XLII-3/W4, 2018: 549-554
	32926	Use of optimized machine learning tool for predicting compressive strength of concrete Enthalten in Asian journal of civil engineering Bd. 26, 29.7.2025, Nr. 11, date:11.2025: 4875-4895
	32927	Use of proper orthogonal decomposition and machine learning for efficient blood flow prediction in cerebral saccular aneurysms Enthalten in Scientific reports Bd. 15, 2.9.2025, Nr. 1, date:12.2025: 1-15
	32928	Use of structure-activity landscape index curves and curve integrals to evaluate the performance of multiple machine learning prediction models Enthalten in Journal of cheminformatics Bd. 3, 7.2.2011, Nr. 1, date:12.2011: 1-12
	32929	Use of systems with deep learning and machine learning for the detection and classification of malignant vs. benign spinal fractures with MRI: can deep/machine learning help us further for detection and characterization? Enthalten in European radiology Bd. 33, 26.5.2023, Nr. 7, date:7.2023: 5058-5059
	32930	Use of unsupervised machine learning to characterise HIV predictors in sub-Saharan Africa Enthalten in BMC infectious diseases Bd. 23, 19.7.2023, Nr. 1, date:12.2023: 1-13

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