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

26821 - 26830 von 32602
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Artikel 26821 Machine learning the thermodynamic arrow of time
Enthalten in Nature physics Bd. 17, 21.9.2020, Nr. 1, date:1.2021: 105-113
Online Ressource
Artikel 26822 Machine learning the trilinear and light-quark Yukawa couplings from Higgs pair kinematic shapes
Enthalten in Journal of high energy physics Bd. 2022, 9.11.2022, Nr. 11, date:11.2022: 1-37
Online Ressource
Artikel 26823 Machine learning thermobarometry and chemometry using amphibole and clinopyroxene: a window into the roots of an arc volcano (Mount Liamuiga, Saint Kitts)
Enthalten in Contributions to mineralogy and petrology Bd. 177, 29.12.2021, Nr. 1, date:1.2022: 1-22
Online Ressource
Artikel 26824 Machine learning through cryptographic glasses: combating adversarial attacks by key-based diversified aggregation
Enthalten in EURASIP journal on information security Bd. 2020, 1.6.2020, Nr. 1, date:12.2020: 1-18
Online Ressource
Artikel 26825 Machine learning to analyse omic-data for COVID-19 diagnosis and prognosis
Enthalten in BMC bioinformatics Bd. 24, 6.1.2023, Nr. 1, date:12.2023: 1-20
Online Ressource
Artikel 26826 Machine Learning to Assess the Risk of Multidrug-Resistant Gram-Negative Bacilli Infections in Febrile Neutropenic Hematological Patients
Enthalten in Infectious diseases and therapy Bd. 10, 16.4.2021, Nr. 2, date:6.2021: 971-983
Online Ressource
Artikel 26827 Machine learning to assist clinical decision-making during the COVID-19 pandemic
Enthalten in Bioelectronic medicine Bd. 6, 10.7.2020, Nr. 1, date:12.2020: 1-8
Online Ressource
Artikel 26828 Machine Learning to Control Network Powered by Computing Infrastructure
Enthalten in Doklady mathematics Bd. 109, 13.5.2024, Nr. 2, date:4.2024: 183-190
Online Ressource
Artikel 26829 Machine learning to detect melanoma exploiting nuclei morphology and Spatial organization
Enthalten in Scientific reports Bd. 15, 1.7.2025, Nr. 1, date:12.2025: 1-11
Online Ressource
Artikel 26830 Machine Learning to Determine Risk Factors for Myopia Progression in Primary School Children: The Anyang Childhood Eye Study
Enthalten in Ophthalmology and therapy Bd. 11, 21.1.2022, Nr. 2, date:4.2022: 573-585
Online Ressource


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