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Ergebnis der Suche nach: "Machine Learning"
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36681 - 36690 von 37206

	36681	Unraveling the significance of cuproptosis in hepatocellular carcinoma heterogeneity and tumor microenvironment through integrated single-cell sequencing and machine learning approaches Enthalten in Discover oncology Bd. 16, 24.5.2025, Nr. 1, date:12.2025: 1-17
	36682	Unravelling individual rhythmic abilities using machine learning Enthalten in Scientific reports Bd. 14, 11.1.2024, Nr. 1, date:12.2024: 1-16
	36683	Unravelling intubation challenges: a machine learning approach incorporating multiple predictive parameters Enthalten in BMC anesthesiology Bd. 24, 18.12.2024, Nr. 1, date:12.2024: 1-14
	36684	Unravelling single-cell DNA replication timing dynamics using machine learning reveals heterogeneity in cancer progression Enthalten in Nature Communications Bd. 16, 8.2.2025, Nr. 1, date:12.2025: 1-15
	36685	Unsupervised Clustering for a Comparative Methodology of Machine Learning Models to Detect Domain-Generated Algorithms Based on an Alphanumeric Features Analysis Enthalten in Journal of network and systems management Bd. 32, 2.1.2024, Nr. 1, date:1.2024: 1-38
	36686	Unsupervised Learning and Pattern Recognition of Biological Data Structures with Density Functional Theory and Machine Learning Enthalten in Scientific reports Bd. 8, 11.1.2018, Nr. 1, date:12.2018: 1-11
	36687	Unsupervised machine learning analysis of optical coherence tomography radiomics features for predicting treatment outcomes in diabetic macular edema Enthalten in Scientific reports Bd. 15, 18.4.2025, Nr. 1, date:12.2025: 1-13
	36688	Unsupervised machine learning and cepstral analysis with 4D-STEM for characterizing complex microstructures of metallic alloys Enthalten in npj computational materials Bd. 10, 18.9.2024, Nr. 1, date:12.2024: 1-10
	36689	Unsupervised machine learning and image recognition model application in English part-of-speech feature learning under the open platform environment Enthalten in Soft computing Bd. 27, 26.4.2023, Nr. 14, date:7.2023: 10013-10023
	36690	Unsupervised machine learning and multi-seismic attributes for fault and fracture network interpretation in the Kerry Field, Taranaki Basin, New Zealand Enthalten in Geomechanics and geophysics for geo-energy and geo-resources Bd. 9, 26.9.2023, Nr. 1, date:12.2023: 1-27

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