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Ergebnis der Suche nach: "Machine Learning"
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26961 - 26970 von 32673

	26961	Machine learning unveils surface refractive index dynamics in comb-like plasmonic optical fiber biosensors Enthalten in Communications engineering Bd. 3, 23.2.2024, Nr. 1, date:12.2024: 1-9
	26962	Machine learning use in early ovarian cancer detection Enthalten in Discover medicine Bd. 2, 11.3.2025, Nr. 1, date:12.2025: 1-31
	26963	Machine learning use in predicting interior spruce wood density utilizing progeny test information Enthalten in Neural computing & applications Bd. 28, 16.11.2015, Nr. 3, date:3.2017: 505-519
	26964	Machine learning using scRNA-seq Combined with bulk-seq to identify lactylation-related hub genes in carotid arteriosclerosis Enthalten in Scientific reports Bd. 15, 22.5.2025, Nr. 1, date:12.2025: 1-19
	26965	Machine learning validation of a simple prediction model for the correlation between advanced age and clinical outcomes in patients with aneurysmal subarachnoid hemorrhage Enthalten in Neurosurgical review Bd. 48, 14.1.2025, Nr. 1, date:12.2025: 1-10
	26966	Machine learning validation of the AVAS classification compared to ultrasound mapping in a multicentre study Enthalten in Scientific reports Bd. 15, 20.1.2025, Nr. 1, date:12.2025: 1-14
	26967	Machine learning vehicle fuel efficiency prediction Enthalten in Scientific reports Bd. 15, 28.4.2025, Nr. 1, date:12.2025: 1-20
	26968	Machine learning versus physicians’ prediction of acute kidney injury in critically ill adults: a prospective evaluation of the AKIpredictor Enthalten in Critical care Bd. 23, 16.8.2019, Nr. 1, date:12.2019: 1-10
	26969	Machine Learning Versus Semidefinite Programming Approach to a Particular Problem of the Theory of Open Quantum Systems Enthalten in Lobachevskii journal of mathematics Bd. 42, 9.8.2021, Nr. 7, date:7.2021: 1622-1629
	26970	Machine learning versus traditional risk stratification methods in acute coronary syndrome: a pooled randomized clinical trial analysis Enthalten in Journal of thrombosis and thrombolysis Bd. 49, 18.9.2019, Nr. 1, date:1.2020: 1-9

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