Katalog der Deutschen Nationalbibliothek

Ergebnis der Suche nach: "Machine Learning"
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32631 - 32640 von 33485

	32631	Tracking historical changes in perceived trustworthiness in Western Europe using machine learning analyses of facial cues in paintings Enthalten in Nature Communications Bd. 11, 22.9.2020, Nr. 1, date:12.2020: 1-7
	32632	Tracking machine learning models for pandemic scenarios: a systematic review of machine learning models that predict local and global evolution of pandemics Enthalten in Network modeling analysis in health informatics and bioinformatics Bd. 11, 11.10.2022, Nr. 1, date:12.2022: 1-23
	32633	Tracking of menstrual cycles and prediction of the fertile window via measurements of basal body temperature and heart rate as well as machine-learning algorithms Enthalten in Reproductive biology and endocrinology Bd. 20, 13.8.2022, Nr. 1, date:12.2022: 1-12
	32634	TRACKING THE GODZILLA DUST PLUME USING GOOGLE EARTH ENGINE PLATFORM Enthalten in The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences Bd. XLVI-M-2-2022, 2022: 33-38. 6 S.
	32635	Tracking the impact of heavy metals on human health and ecological environments in complex coastal aquifers using improved machine learning optimization Enthalten in Environmental science and pollution research Bd. 31, 24.8.2024, Nr. 40, date:8.2024: 53219-53236
	32636	Tract-based white matter hyperintensity patterns in patients with systemic lupus erythematosus using an unsupervised machine learning approach Enthalten in Scientific reports Bd. 12, 9.12.2022, Nr. 1, date:12.2022: 1-12
	32637	TractoInferno - A large-scale, open-source, multi-site database for machine learning dMRI tractography Enthalten in Scientific data Bd. 9, 25.11.2022, Nr. 1, date:12.2022: 1-17
	32638	Trade-offs between machine learning and deep learning for mental illness detection on social media Enthalten in Scientific reports Bd. 15, 25.4.2025, Nr. 1, date:12.2025: 1-14
	32639	Traditional and Machine Learning Models for Forecasting Apple Production and Cultivation Area Enthalten in Applied fruit science Bd. 67, 7.10.2025, Nr. 5, date:10.2025: 1-12
	32640	Traditional and machine learning models for predicting haemorrhagic transformation in ischaemic stroke: a systematic review and meta-analysis Enthalten in Systematic Reviews Bd. 14, 22.2.2025, Nr. 1, date:12.2025: 1-12

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