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

38551 - 38560 von 38817
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Artikel 38551 Using the grouping function of machine learning algorithm to reduce the influence of information avoidance tendency during reading behavior
Enthalten in Smart Learning Environments Bd. 10, 27.11.2023, Nr. 1, date:12.2023: 1-16
Online Ressource
Artikel 38552 Using the risk of spatial extrapolation by machine-learning models to assess the reliability of model predictions for conservation
Enthalten in Landscape ecology Bd. 38, 10.4.2023, Nr. 6, date:6.2023: 1363-1372
Online Ressource
Artikel 38553 Using time-series chest radiographs and laboratory data by machine learning for identifying pulmonary infection and colonization of Acinetobacter baumannii
Enthalten in Respiratory research Bd. 25, 3.1.2024, Nr. 1, date:12.2024: 1-11
Online Ressource
Artikel 38554 Using topological data analysis and machine learning to predict customer churn
Enthalten in Journal of Big Data Bd. 11, 7.11.2024, Nr. 1, date:12.2024: 1-31
Online Ressource
Artikel 38555 Using transfer learning and dimensionality reduction techniques to improve generalisability of machine-learning predictions of mosquito ages from mid-infrared spectra
Enthalten in BMC bioinformatics Bd. 24, 9.1.2023, Nr. 1, date:12.2023: 1-15
Online Ressource
Artikel 38556 Using unsupervised machine learning to classify behavioral risk markers of bacterial vaginosis
Enthalten in Archives of gynecology and obstetrics Bd. 309, 3.2.2024, Nr. 3, date:3.2024: 1053-1063
Online Ressource
Artikel 38557 Using visible and NIR hyperspectral imaging and machine learning for nondestructive detection of nutrient contents in sorghum
Enthalten in Scientific reports Bd. 15, 19.2.2025, Nr. 1, date:12.2025: 1-14
Online Ressource
Artikel 38558 Using weak signals to predict spontaneous breathing trial success: a machine learning approach
Enthalten in Intensive Care Medicine Experimental Bd. 13, 18.3.2025, Nr. 1, date:12.2025: 1-14
Online Ressource
Artikel 38559 Using wearable sensors and machine learning to assess upper limb function in Huntington’s disease
Enthalten in Communications medicine Bd. 5, 25.2.2025, Nr. 1, date:12.2025: 1-9
Online Ressource
Artikel 38560 Using XBGoost, an interpretable machine learning model, for diagnosing prostate cancer in patients with PSA < 20 ng/ml based on the PSAMR indicator
Enthalten in Scientific reports Bd. 15, 9.1.2025, Nr. 1, date:12.2025: 1-11
Online Ressource


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