Katalog der Deutschen Nationalbibliothek

Ergebnis der Suche nach: "Machine Learning"
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41571 - 41580 von 42084

	41571	Use machine learning to predict pulmonary metastasis of esophageal cancer: a population-based study Enthalten in Journal of cancer research and clinical oncology Bd. 150, 16.9.2024, Nr. 9, date:9.2024: 1-10
	41572	Use machine learning to predict treatment outcome of early childhood caries Enthalten in BMC oral health Bd. 25, 15.3.2025, Nr. 1, date:12.2025: 1-9
	41573	Use of a supervised machine learning model to predict Oncotype DX risk category in node-positive patients older than 50 years of age Enthalten in Breast cancer research and treatment Bd. 196, 21.10.2022, Nr. 3, date:12.2022: 565-570
	41574	Use of artificial intelligence for public health surveillance: a case study to develop a machine Learning-algorithm to estimate the incidence of diabetes mellitus in France Enthalten in Archives of public health Bd. 79, 22.9.2021, Nr. 1, date:12.2021: 1-13
	41575	Use of CPT and other parameters for estimating soil unit weight using optimised machine learning models Enthalten in Earth science informatics Bd. 18, 31.1.2025, Nr. 2, date:2.2025: 1-16
	41576	Use of GIS and machine learning to predict disease in shrimp farmed on the east coast of the Mekong Delta, Vietnam Enthalten in Fisheries science Bd. 88, 13.1.2022, Nr. 1, date:1.2022: 1-13
	41577	Use of GIS, Statistics and Machine Learning for Groundwater Quality Management: Application to Nitrate Contamination Enthalten in Water resources Bd. 49, 19.5.2022, Nr. 3, date:6.2022: 503-514
	41578	Use of low-fidelity models with machine-learning error correction for well placement optimization Enthalten in Computational geosciences Bd. 26, 25.5.2022, Nr. 5, date:10.2022: 1189-1206
	41579	Use of machine learning algorithms for surface roughness prediction of printed parts in polyvinyl butyral via fused deposition modeling Enthalten in The international journal of advanced manufacturing technology Bd. 115, 25.5.2021, Nr. 7-8, date:8.2021: 2465-2475
	41580	Use of machine learning algorithms to classify binary protein sequences as highly-designable or poorly-designable Enthalten in BMC bioinformatics Bd. 9, 18.11.2008, Nr. 1, date:12.2008: 1-12

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