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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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11241 - 11250 von 13320

	11241	Precision of CT-derived alveolar recruitment assessed by human observers and a machine learning algorithm in moderate and severe ARDS Enthalten in Intensive Care Medicine Experimental Bd. 11, 17.2.2023, Nr. 1, date:12.2023: 1-15
	11242	Precision soil sampling strategy for the delineation of management zones in olive cultivation using unsupervised machine learning methods Enthalten in Scientific reports Bd. 15, 10.3.2025, Nr. 1, date:12.2025: 1-26
	11243	Preclinical identification of acute coronary syndrome without high sensitivity troponin assays using machine learning algorithms Enthalten in Scientific reports Bd. 14, 29.4.2024, Nr. 1, date:12.2024: 1-12
	11244	Predict COVID-19 Spreading With C-SMOTE Enthalten in Business information systems Bd. 1, 02.07.2021
	11245	PredicT-ML: a tool for automating machine learning model building with big clinical data Enthalten in Health Information Science and Systems Bd. 4, 8.6.2016, Nr. 1, date:12.2016: 1-16
	11246	Predict the compressive strength of ultra high-performance concrete by a hybrid method of machine learning Enthalten in Journal of engineering and applied science Bd. 70, 12.9.2023, Nr. 1, date:12.2023: 1-18
	11247	Predictability of drug-induced liver injury by machine learning Enthalten in Biology direct Bd. 15, 13.2.2020, Nr. 1, date:12.2020: 1-10
	11248	Predict, diagnose, and treat chronic kidney disease with machine learning: a systematic literature review Enthalten in Journal of nephrology Bd. 36, 14.2.2023, Nr. 4, date:5.2023: 1101-1117
	11249	Predicting 180-day mortality for women with ovarian cancer using machine learning and patient-reported outcome data Enthalten in Scientific reports Bd. 12, 8.12.2022, Nr. 1, date:12.2022: 1-8
	11250	Predicting 28-day all-cause mortality in patients admitted to intensive care units with pre-existing chronic heart failure using the stress hyperglycemia ratio: a machine learning-driven retrospective cohort analysis Enthalten in Cardiovascular diabetology Bd. 24, 8.1.2025, Nr. 1, date:12.2025: 1-13

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Ergebnis der Suche nach: "Machine Learning" im Bestand: Gesamter Bestand

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Ergebnis der Suche nach: "Machine Learning"
im Bestand: Gesamter Bestand