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Donnerstag, 11. September 2025: Die Deutsche Nationalbibliothek öffnet wegen eines Beschäftigtentreffens an beiden Standorten erst um 15 Uhr. // Thursday, 11 September 2025: The German National Library will not open until 15:00 due to a staff meeting at both locations.

Ergebnis der Suche nach: "Machine Learning"
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36231 - 36240 von 37201

	36231	The machine learning horizon in cardiac hybrid imaging Enthalten in European journal of hybrid imaging Bd. 2, 23.7.2018, Nr. 1, date:12.2018: 1-15
	36232	The machine learning implementation and theoretical foundations of intelligent control of accelerator particle beams Enthalten in Science China / Physics, mechanics & astronomy Bd. 68, 3.12.2024, Nr. 2, date:2.2025: 1-2
	36233	The machine learning methods to analyze the using strategy of antiplatelet drugs in ischaemic stroke patients with gastrointestinal haemorrhage Enthalten in BMC neurology Bd. 23, 13.10.2023, Nr. 1, date:12.2023: 1-8
	36234	The machine learning revolution in materials? Enthalten in Materials Research Society: MRS bulletin Bd. 44, 27.9.2020, Nr. 7, date:7.2019: 530-537
	36235	The mastery of details in the workflow of materials machine learning Enthalten in npj computational materials Bd. 10, 2.7.2024, Nr. 1, date:12.2024: 1-17
	36236	The mechanistic functional landscape of retinitis pigmentosa: a machine learning-driven approach to therapeutic target discovery Enthalten in Journal of translational medicine Bd. 22, 6.2.2024, Nr. 1, date:12.2024: 1-24
	36237	The metabolic clock of ketamine abuse in rats by a machine learning model Enthalten in Scientific reports Bd. 14, 14.8.2024, Nr. 1, date:12.2024: 1-12
	36238	The moderating role of trust in government adoption e-service during Covid-19 pandemic: health belief model perspective Enthalten in International journal of information technology Bd. 15, 7.3.2023, Nr. 3, date:3.2023: 1545-1553
	36239	The momentum operator on a union of intervals and the Fuglede conjecture Enthalten in Sampling theory, signal processing, and data analysis Bd. 21, 10.11.2023, Nr. 2, date:12.2023: 1-25
	36240	The most suitable mode decomposition technique for machine learning in meteorological time series prediction Enthalten in Journal of earth system science Bd. 132, 12.5.2023, Nr. 2, date:6.2023: 1-27

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