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Ergebnis der Suche nach: "Machine Learning"
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15961 - 15970 von 16964
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Artikel 15961 Self-supervised machine learning for live cell imagery segmentation
Enthalten in Communications biology Bd. 5, 2.11.2022, Nr. 1, date:12.2022: 1-8
Online Ressource
Artikel 15962 Self-supervised machine learning pushes the sensitivity limit in label-free detection of single proteins below 10 kDa
Enthalten in Nature methods Bd. 20, 27.2.2023, Nr. 3, date:3.2023: 442-447
Online Ressource
Artikel 15963 Semantic modeling of cell damage prediction: a machine learning approach at human-level performance in dermatology
Enthalten in Scientific reports Bd. 13, 23.5.2023, Nr. 1, date:12.2023: 1-10
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Artikel 15964 Semantic segmentation in crystal growth process using fake micrograph machine learning
Enthalten in Scientific reports Bd. 14, 21.8.2024, Nr. 1, date:12.2024: 1-8
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Artikel 15965 Semantic segmentation of methane plumes with hyperspectral machine learning models
Enthalten in Scientific reports Bd. 13, 17.11.2023, Nr. 1, date:12.2023: 1-14
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Artikel 15966 SEMANTIC SEGMENTATION OF UAV IMAGES BASED ON U-NET IN URBAN AREA
Enthalten in ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences Bd. X-4/W1-2022, 2023: 451-457. 7 S.
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Artikel 15967 Semantic Segmentation Uncertainty Assessment of Different U-net Architectures for Extracting Building Footprints
Enthalten in ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences Bd. X-4-2024, 2024: 141-148. 8 S.
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Artikel 15968 SEMANTIC URBAN MESH SEGMENTATION BASED ON AERIAL OBLIQUE IMAGES AND POINT CLOUDS USING DEEP LEARNING
Enthalten in The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences Bd. XLIII-B2-2022, 2022: 485-491. 7 S.
Online Ressource
Artikel 15969 Semi-automated title-abstract screening using natural language processing and machine learning
Enthalten in Systematic Reviews Bd. 13, 1.11.2024, Nr. 1, date:12.2024: 1-14
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Artikel 15970 Semi-Lipschitz functions and machine learning for discrete dynamical systems on graphs
Enthalten in Machine learning Bd. 111, 23.3.2022, Nr. 5, date:5.2022: 1765-1797
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