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Ergebnis der Suche nach: "Machine Learning"
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15861 - 15870 von 17107
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Artikel 15861 Remote sensing and machine learning algorithms to predict soil salinity in southern Kazakhstan
Enthalten in Discover sustainability Bd. 5, 28.10.2024, Nr. 1, date:12.2024: 1-14
Online Ressource
Artikel 15862 Remote sensing based forest cover classification using machine learning
Enthalten in Scientific reports Bd. 14, 2.1.2024, Nr. 1, date:12.2024: 1-17
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Artikel 15863 Remote sensing estimation of aboveground biomass of different forest types in Xinjiang based on machine learning
Enthalten in Scientific reports Bd. 15, 20.2.2025, Nr. 1, date:12.2025: 1-15
Online Ressource
Artikel 15864 Remote sensing for land cover mapping across Victoria, Australia – a machine learning application
Enthalten in Scientific data Bd. 12, 3.4.2025, Nr. 1, date:12.2025: 1-12
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Artikel 15865 Remote sensing with machine learning for multi-decadal surface water monitoring in Ethiopia
Enthalten in Scientific reports Bd. 15, 11.4.2025, Nr. 1, date:12.2025: 1-15
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Artikel 15866 Reply to Letter to the Editor on “Not all biases are bad: equitable and inequitable biases in machine learning and radiology”
Enthalten in Insights into imaging Bd. 12, 3.11.2021, Nr. 1, date:12.2021: 1-2
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Artikel 15867 Reply to: comment on “Early cancer detection by serum biomolecular fingerprinting spectroscopy with machine learning”
Enthalten in Light Bd. 14, 20.1.2025, Nr. 1, date:12.2025: 1-13
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Artikel 15868 Reply to: Comment on “Machine learning enhanced analysis of EBSD data for texture representation”
Enthalten in npj computational materials Bd. 11, 17.3.2025, Nr. 1, date:12.2025: 1-3
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Artikel 15869 Reply to: Machine learning-driven virtual biopsy system may increase organ discards at aggressive kidney transplant centers
Enthalten in Nature Communications Bd. 15, 29.11.2024, Nr. 1, date:12.2024: 1-2
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Artikel 15870 Reply to: Machine-learning prediction of hosts of novel coronaviruses requires caution as it may affect wildlife conservation
Enthalten in Nature Communications Bd. 13, 12.9.2022, Nr. 1, date:12.2022: 1-3
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