Katalog der Deutschen Nationalbibliothek

Ergebnis der Suche nach: "Machine Learning"
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41541 - 41550 von 42106

	41541	Unveiling CM-Det: leveraging ConvMixer architecture for advanced object detection Enthalten in International journal of information technology Bd. 16, 16.7.2024, Nr. 7, date:10.2024: 4273-4278
	41542	Unveiling degradation patterns in dye-sensitized solar cells: a machine learning perspective Enthalten in Scientific reports Bd. 15, 3.7.2025, Nr. 1, date:12.2025: 1-14
	41543	Unveiling DoH tunnel: Toward generating a balanced DoH encrypted traffic dataset and profiling malicious behavior using inherently interpretable machine learning Enthalten in Peer-to-peer networking and applications Bd. 17, 23.12.2023, Nr. 1, date:1.2024: 507-531
	41544	Unveiling driver drowsiness: a probabilistic machine learning approach using EEG and heart rate data Enthalten in Innovative infrastructure solutions Bd. 10, 10.6.2025, Nr. 7, date:7.2025: 1-16
	41545	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
	41546	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
	41547	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
	41548	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
	41549	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
	41550	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

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