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Ergebnis der Suche nach: "Machine Learning"
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15991 - 16000 von 16999
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Artikel 15991 Self-report symptom-based endometriosis prediction using machine learning
Enthalten in Scientific reports Bd. 13, 4.4.2023, Nr. 1, date:12.2023: 1-10
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Artikel 15992 Self-supervised identification and elimination of harmful datasets in distributed machine learning for medical image analysis
Enthalten in npj digital medicine Bd. 8, 15.2.2025, Nr. 1, date:12.2025: 1-14
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Artikel 15993 SELF-SUPERVISED LEARNING – A WAY TO MINIMIZE TIME AND EFFORT FOR PRECISION AGRICULTURE?
Enthalten in The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences Bd. XLIII-B3-2022, 2022: 1327-1333. 7 S.
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Artikel 15994 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
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Artikel 15995 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
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Artikel 15996 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 15997 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 15998 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
Online Ressource
Artikel 15999 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.
Online Ressource
Artikel 16000 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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