Katalog der Deutschen Nationalbibliothek

Ergebnis der Suche nach: "Machine Learning"
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35511 - 35520 von 35895

	35511	Using informative features in machine learning based method for COVID-19 drug repurposing Enthalten in Journal of cheminformatics Bd. 13, 20.9.2021, Nr. 1, date:12.2021: 1-14
	35512	Using interpretable machine learning methods to identify the relative importance of lifestyle factors for overweight and obesity in adults: pooled evidence from CHNS and NHANES Enthalten in BMC public health Bd. 24, 1.11.2024, Nr. 1, date:12.2024: 1-15
	35513	Using Jupyter Notebooks for re-training machine learning models Enthalten in Journal of cheminformatics Bd. 14, 13.8.2022, Nr. 1, date:12.2022: 1-9
	35514	Using machine learning algorithm to analyse the hypothyroidism complications caused by radiotherapy in patients with head and neck cancer Enthalten in Scientific reports Bd. 13, 6.11.2023, Nr. 1, date:12.2023: 1-10
	35515	Using Machine Learning Algorithms and Honeypot Systems to Detect Adversarial Attacks on Intrusion Detection Systems Enthalten in Automatic control and computer sciences Bd. 58, 14.3.2025, Nr. 8, date:12.2024: 1226-1233
	35516	Using Machine Learning Algorithms for Water Segmentation in Gas Diffusion Layers of Polymer Electrolyte Fuel Cells Enthalten in Transport in porous media Bd. 144, 4.8.2022, Nr. 3, date:9.2022: 715-737
	35517	Using machine learning algorithms to enhance IoT system security Enthalten in Scientific reports Bd. 14, 27.5.2024, Nr. 1, date:12.2024: 1-19
	35518	Using machine learning algorithms to guide rehabilitation planning for home care clients Enthalten in BMC medical informatics and decision making Bd. 7, 20.12.2007, Nr. 1, date:12.2007: 1-13
	35519	Using machine learning algorithms to identify genes essential for cell survival Enthalten in BMC bioinformatics Bd. 18, 3.10.2017, Nr. 11, date:10.2017: 19-29
	35520	Using machine learning and a data-driven approach to identify the small fatigue crack driving force in polycrystalline materials Enthalten in npj computational materials Bd. 4, 16.7.2018, Nr. 1, date:12.2018: 1-10