Katalog der Deutschen Nationalbibliothek

Ergebnis der Suche nach: "Machine Learning"
im Bestand: Gesamter Bestand

35611 - 35620 von 35988

	35611	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
	35612	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
	35613	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
	35614	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
	35615	Using machine learning and DeepLabCut in animal behavior Enthalten in Acta ethologica Bd. 25, 16.7.2022, Nr. 3, date:10.2022: 125-133
	35616	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
	35617	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
	35618	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
	35619	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
	35620	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