Katalog der Deutschen Nationalbibliothek

Ergebnis der Suche nach: "Machine Learning"
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43411 - 43420 von 43626

	43411	Value of Geologically Derived Features in Machine Learning Facies Classification Enthalten in Mathematical geosciences Bd. 52, 16.11.2019, Nr. 1, date:1.2020: 5-29
	43412	Value of machine learning in predicting TAVI outcomes Enthalten in Netherlands heart journal Bd. 27, 20.5.2019, Nr. 9, date:9.2019: 443-450
	43413	Values and inductive risk in machine learning modelling: the case of binary classification models Enthalten in European journal for philosophy of science Bd. 11, 26.10.2021, Nr. 4, date:12.2021: 1-27
	43414	Van Krevelen diagrams based on machine learning visualize feedstock-product relationships in thermal conversion processes Enthalten in Communications chemistry Bd. 6, 13.12.2023, Nr. 1, date:12.2023: 1-11
	43415	Vanadiferous titanomagnetite ore rock classifier using machine learning from portable X-ray fluorescence spectra Enthalten in Environmental earth sciences Bd. 84, 18.6.2025, Nr. 13, date:7.2025: 1-16
	43416	Variability analysis of soil organic carbon content across land use types and its digital mapping using machine learning and deep learning algorithms Enthalten in Environmental monitoring and assessment Bd. 197, 10.4.2025, Nr. 5, date:5.2025: 1-32
	43417	Variable resolution machine learning optimization of antennas using global sensitivity analysis Enthalten in Scientific reports Bd. 14, 13.11.2024, Nr. 1, date:12.2024: 1-23
	43418	Variable selection in social-environmental data: sparse regression and tree ensemble machine learning approaches Enthalten in BMC medical research methodology Bd. 20, 10.12.2020, Nr. 1, date:12.2020: 1-10
	43419	Variant-driven early warning via unsupervised machine learning analysis of spike protein mutations for COVID-19 Enthalten in Scientific reports Bd. 12, 3.6.2022, Nr. 1, date:12.2022: 1-14
	43420	Variational autoencoder-based techniques for a streamlined cross-topology modeling and optimization workflow in electrical drives Enthalten in Autonomous intelligent systems Bd. 4, 24.5.2024, Nr. 1, date:12.2024: 1-10

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