Katalog der Deutschen Nationalbibliothek

Ergebnis der Suche nach: "Machine Learning"
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15901 - 15910 von 16905

	15901	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
	15902	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
	15903	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.
	15904	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
	15905	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
	15906	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
	15907	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
	15908	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
	15909	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.
	15910	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.