Katalog der Deutschen Nationalbibliothek

Ergebnis der Suche nach: "Machine Learning"
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41661 - 41670 von 42099

	41661	Using machine learning algorithms to predict risk factors of heart failure after complete mesocolic excision in colorectal cancer patients Enthalten in Scientific reports Bd. 15, 15.7.2025, Nr. 1, date:12.2025: 1-16
	41662	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
	41663	Using machine learning and deep learning algorithms for downtime minimization in manufacturing systems: an early failure detection diagnostic service Enthalten in The international journal of advanced manufacturing technology Bd. 128, 23.8.2023, Nr. 9-10, date:10.2023: 3857-3883
	41664	Using machine learning and DeepLabCut in animal behavior Enthalten in Acta ethologica Bd. 25, 16.7.2022, Nr. 3, date:10.2022: 125-133
	41665	Using Machine Learning and Multi-Element Analysis to Evaluate the Authenticity of Organic and Conventional Vegetables Enthalten in Food analytical methods Bd. 12, 25.7.2019, Nr. 11, date:11.2019: 2542-2554
	41666	Using machine learning and natural language processing in triage for prediction of clinical disposition in the emergency department Enthalten in BMC emergency medicine Bd. 24, 18.12.2024, Nr. 1, date:12.2024: 1-18
	41667	Using machine learning and perceptual data to predict student satisfaction of eLearning systems in Ugandan institutions of higher education Enthalten in Discover education Bd. 4, 6.10.2025, Nr. 1, date:12.2025: 1-29
	41668	Using machine learning approach for screening metastatic biomarkers in colorectal cancer and predictive modeling with experimental validation Enthalten in Scientific reports Bd. 13, 8.11.2023, Nr. 1, date:12.2023: 1-17
	41669	Using machine learning approach to investigate the impact of missing sensors on fault classification of multistage gear box Enthalten in Associação Brasileira de Engenharia e Ciências Mecânicas: Journal of the Brazilian Society of Mechanical Sciences and Engineering Bd. 47, 22.2.2025, Nr. 3, date:3.2025: 1-14
	41670	Using machine learning approaches for predicting the compressive strength of ultra-high-performance concrete with SHAP analysis Enthalten in Asian journal of civil engineering Bd. 26, 18.11.2024, Nr. 1, date:1.2025: 373-388

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