Katalog der Deutschen Nationalbibliothek

Ergebnis der Suche nach: "Machine Learning"
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41561 - 41570 von 42102

	41561	Unveiling the potential of artificial intelligence in revolutionizing disease diagnosis and prediction: a comprehensive review of machine learning and deep learning approaches Enthalten in European journal of medical research Bd. 30, 26.5.2025, Nr. 1, date:12.2025: 1-36
	41562	Unveiling the potential of machine learning approaches in predicting the emergence of stroke at its onset: a predicting framework Enthalten in Scientific reports Bd. 14, 29.8.2024, Nr. 1, date:12.2024: 1-21
	41563	Unveiling the Re, Cr, and I diffusion in saturated compacted bentonite using machine-learning methods Enthalten in Nuclear science and techniques Bd. 35, 18.6.2024, Nr. 6, date:6.2024: 1-13
	41564	Unveiling the role of coagulation-related genes in acute myeloid leukemia prognosis and immune microenvironment through machine learning Enthalten in European journal of medical research Bd. 30, 11.8.2025, Nr. 1, date:12.2025: 1-15
	41565	Unveiling the role of IL7R in metabolism-associated fatty liver disease leading to hepatocellular carcinoma through transcriptomic and machine learning approaches Enthalten in Discover oncology Bd. 16, 23.5.2025, Nr. 1, date:12.2025: 1-13
	41566	Unveiling the role of PANoptosis-related genes in breast cancer: an integrated study by multi-omics analysis and machine learning algorithms Enthalten in Breast cancer research and treatment Bd. 211, 28.1.2025, Nr. 1, date:5.2025: 35-50
	41567	Unveiling the role of protein palmitoylation in gastric cancer diagnosis via machine learning Enthalten in Discover oncology Bd. 16, 28.10.2025, Nr. 1, date:12.2025: 1-14
	41568	Unveiling the sound of the cognitive status: Machine Learning-based speech analysis in the Alzheimer’s disease spectrum Enthalten in Alzheimer's research & therapy Bd. 16, 2.2.2024, Nr. 1, date:12.2024: 1-20
	41569	Unwrapping the phase portrait features of adventitious crackle for auscultation and classification: a machine learning approach Enthalten in Journal of biological physics Bd. 47, 27.4.2021, Nr. 2, date:6.2021: 103-115
	41570	UPDATING ABOVEGROUND BIOMASS AT A PAN-EUROPEAN SCALE THROUGH SATELLITE DATA AND ARTIFICIAL INTELLIGENCE Enthalten in The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences Bd. XLVIII-1/W2-2023, 2023: 1763-1769. 7 S.

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