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

34531 - 34540 von 41309

	34531	Machine Learning for Diagnostics of Space Weather Effects for the Arctic Region Enthalten in Moskovskij gosudarstvennyj universitet im. M.V. Lomonosova: Moscow University physics bulletin Bd. 78, 17.1.2024, Nr. 1, date:12.2023: S226-S235
	34532	Machine learning for differentiating between pancreatobiliary-type and intestinal-type periampullary carcinomas based on CT imaging and clinical findings Enthalten in Abdominal radiology Bd. 49, 18.1.2024, Nr. 3, date:3.2024: 748-761
	34533	Machine learning for differentiation of lipid-poor adrenal adenoma and subclinical pheochromocytoma based on multiphase CT imaging radiomics Enthalten in BMC medical imaging Bd. 23, 16.10.2023, Nr. 1, date:12.2023: 1-8
	34534	Machine learning for discovering missing or wrong protein function annotations Enthalten in BMC bioinformatics Bd. 20, 23.9.2019, Nr. 1, date:12.2019: 1-32
	34535	Machine learning for distinguishing saudi children with and without autism via eye-tracking data Enthalten in Child and adolescent psychiatry and mental health Bd. 17, 30.9.2023, Nr. 1, date:12.2023: 1-9
	34536	Machine learning for downscaling: the use of parallel multiple populations in genetic programming Enthalten in Stochastic environmental research and risk assessment Bd. 33, 27.8.2019, Nr. 8-9, date:9.2019: 1497-1533
	34537	Machine learning for early detection and severity classification in people with Parkinson’s disease Enthalten in Scientific reports Bd. 15, 2.1.2025, Nr. 1, date:12.2025: 1-14
	34538	Machine learning for early diagnosis of Kawasaki disease in acute febrile children: retrospective cross-sectional study in China Enthalten in Scientific reports Bd. 15, 25.2.2025, Nr. 1, date:12.2025: 1-11
	34539	Machine learning for early dynamic prediction of functional outcome after stroke Enthalten in Communications medicine Bd. 4, 13.11.2024, Nr. 1, date:12.2024: 1-13
	34540	Machine learning for early prediction of acute myocardial infarction or death in acute chest pain patients using electrocardiogram and blood tests at presentation Enthalten in BMC medical informatics and decision making Bd. 23, 2.2.2023, Nr. 1, date:12.2023: 1-10