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

34511 - 34520 von 41678
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Artikel 34511 Machine learning-based yield prediction for transition metal-catalyzed cross-coupling reactions
Enthalten in Theoretical chemistry accounts Bd. 144, 3.12.2024, Nr. 1, date:1.2025: 1-9
Online Ressource
Artikel 34512 Machine-Learning basierte Analyse von latenten Profilen des physikdidaktischen Wissens
Enthalten in Zeitschrift für Didaktik der Naturwissenschaften Bd. 31, 25.3.2025, Nr. 1, date:12.2025: 1-24
Online Ressource
Artikel 34513 Machine learning boosts wind turbine efficiency with smart failure detection and strategic placement
Enthalten in Scientific reports Bd. 15, 9.1.2025, Nr. 1, date:12.2025: 1-24
Online Ressource
Artikel 34514 Machine learning can accurately predict risk factors for all-cause reoperation after ACLR: creating a clinical tool to improve patient counseling and outcomes
Enthalten in Knee surgery, sports traumatology, arthroscopy Bd. 31, 6.7.2023, Nr. 10, date:10.2023: 4099-4108
Online Ressource
Artikel 34515 Machine learning can aid in prediction of IDH mutation from H&E-stained histology slides in infiltrating gliomas
Enthalten in Scientific reports Bd. 12, 31.12.2022, Nr. 1, date:12.2022: 1-12
Online Ressource
Artikel 34516 Machine Learning Can Assign Geologic Basin to Produced Water Samples Using Major Ion Geochemistry
Enthalten in Natural resources research Bd. 30, 30.9.2021, Nr. 6, date:12.2021: 4147-4163
Online Ressource
Artikel 34517 Machine learning can classify vital sign alerts as real or artifact in online continuous monitoring data
Enthalten in Intensive Care Medicine Experimental Bd. 3, 1.10.2015, Nr. 1, date:12.2015: 1-2
Online Ressource
Artikel 34518 Machine learning can guide food security efforts when primary data are not available
Enthalten in Nature food Bd. 3, 15.9.2022, Nr. 9, date:9.2022: 716-728
Online Ressource
Artikel 34519 Machine Learning Can Improve Estimation of Surgical Case Duration: A Pilot Study
Enthalten in Journal of medical systems Bd. 43, 17.1.2019, Nr. 3, date:3.2019: 1-7
Online Ressource
Artikel 34520 Machine learning can predict survival of patients with heart failure from serum creatinine and ejection fraction alone
Enthalten in BMC medical informatics and decision making Bd. 20, 3.2.2020, Nr. 1, date:12.2020: 1-16
Online Ressource


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