Katalog der Deutschen Nationalbibliothek

Ergebnis der Suche nach: "Machine Learning"
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41541 - 41550 von 42102

	41541	Unveiling hydrogen chemical states in supersaturated amorphous alumina via machine learning-driven atomistic modeling Enthalten in npj computational materials Bd. 11, 6.6.2025, Nr. 1, date:12.2025: 1-13
	41542	Unveiling lipoprotein subfractions signature in high-FNPO PCOS: implications for PCOM diagnosis and risk assessment using advanced machine learning models Enthalten in BMC medicine Bd. 23, 19.5.2025, Nr. 1, date:12.2025: 1-12
	41543	Unveiling Marketing Potential: Harnessing Advanced Analytics and Machine Learning for Gold Membership Strategy Optimization in a Superstore Enthalten in SN Computer Science Bd. 5, 29.3.2024, Nr. 4, date:4.2024: 1-22
	41544	Unveiling multiscale drivers of wind speed in Michigan using machine learning Enthalten in npj climate and atmospheric science Bd. 8, 29.7.2025, Nr. 1, date:12.2025: 1-9
	41545	Unveiling new insights into migraine risk stratification using machine learning models of adjustable risk factors Enthalten in The journal of headache and pain Bd. 26, 6.5.2025, Nr. 1, date:12.2025: 1-14
	41546	Unveiling patterns in wildlife conservation attitudes in Gilgit-Baltistan, Pakistan, using unsupervised machine learning algorithms Enthalten in Biodiversity and conservation Bd. 34, 29.9.2025, Nr. 12, date:10.2025: 4309-4334
	41547	Unveiling prognostic biomarkers and immunotherapeutic insights in prostate cancer through multi-omics and machine learning Enthalten in European journal of medical research Bd. 30, 10.11.2025, Nr. 1, date:12.2025: 1-28
	41548	Unveiling structural change patterns: an unsupervised machine learning approach to long-term dynamics Enthalten in Humanities and Social Sciences Communications Bd. 12, 16.7.2025, Nr. 1, date:12.2025: 1-17
	41549	Unveiling sustainable tourism themes with machine learning based topic modeling Enthalten in Discover sustainability Bd. 6, 14.4.2025, Nr. 1, date:12.2025: 1-28
	41550	Unveiling the antiviral inhibitory activity of ebselen and ebsulfur derivatives on SARS-CoV-2 using machine learning-based QSAR, LB-PaCS-MD, and experimental assay Enthalten in Scientific reports Bd. 15, 26.2.2025, Nr. 1, date:12.2025: 1-12

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