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Ergebnis der Suche nach: "Machine Learning"
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10911 - 10920 von 12821
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Artikel 10911 Predicting foodborne pathogens and probiotics taxa within poultry-related microbiomes using a machine learning approach
Enthalten in Animal microbiome Bd. 5, 15.11.2023, Nr. 1, date:12.2023: 1-14
Online Ressource
Artikel 10912 Predicting future hospital antimicrobial resistance prevalence using machine learning
Enthalten in Communications medicine Bd. 4, 10.10.2024, Nr. 1, date:12.2024: 1-14
Online Ressource
Artikel 10913 Predicting game-induced emotions using EEG, data mining and machine learning
Enthalten in al- Markaz al-Qaumī li-'l-Buḥūṭ (al-Qāhira): Bulletin of the National Research Centre Bd. 48, 24.5.2024, Nr. 1, date:12.2024: 1-10
Online Ressource
Artikel 10914 Predicting gene signature in breast cancer patients with multiple machine learning models
Enthalten in Discover oncology Bd. 15, 1.10.2024, Nr. 1, date:12.2024: 1-12
Online Ressource
Artikel 10915 Predicting genes associated with RNA methylation pathways using machine learning
Enthalten in Communications biology Bd. 5, 25.8.2022, Nr. 1, date:12.2022: 1-10
Online Ressource
Artikel 10916 Predicting genome-wide redundancy using machine learning
Enthalten in BMC evolutionary biology Bd. 10, 18.11.2010, Nr. 1, date:12.2010: 1-15
Online Ressource
Artikel 10917 Predicting Gestational Diabetes Mellitus in the first trimester using machine learning algorithms: a cross-sectional study at a hospital fertility health center in Iran
Enthalten in BMC medical informatics and decision making Bd. 25, 3.1.2025, Nr. 1, date:12.2025: 1-11
Online Ressource
Artikel 10918 Predicting glass structure by physics-informed machine learning
Enthalten in npj computational materials Bd. 8, 9.9.2022, Nr. 1, date:12.2022: 1-9
Online Ressource
Artikel 10919 Predicting global patterns of long-term climate change from short-term simulations using machine learning
Enthalten in npj climate and atmospheric science Bd. 3, 19.11.2020, Nr. 1, date:12.2020: 1-9
Online Ressource
Artikel 10920 Predicting graft and patient outcomes following kidney transplantation using interpretable machine learning models
Enthalten in Scientific reports Bd. 14, 29.7.2024, Nr. 1, date:12.2024: 1-8
Online Ressource


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