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Servicezeiten in Frankfurt am Main ab 1. Dezember 2025: Montag bis Freitag 9–18 Uhr und Samstag 10–16 Uhr
Service hours in Frankfurt am Main from 1 December 2025: Monday to Friday 9:00-18:00 and Saturday 10:00-16:00

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Die Lesesäle für Geisteswissenschaften, Naturwissenschaften, der Alte Lesesaal Technik und der Anne-Frank-Shoah-Lesesaal in Leipzig schließen am 04.02.2026 wegen einer Veranstaltung bereits um 15 Uhr. Die weiteren Lesesäle sowie die Servicetheke sind zu den regulären Zeiten geöffnet. //
The humanities reading room, the natural science reading room, the old technology reading room and the reading room of the Anne-Frank-Shoah-Library will close at 15:00 on 4 February 2026 due to an event. The other reading rooms and the service desk will be open during regular hours.

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

33501 - 33510 von 33941

	33501	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
	33502	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
	33503	Using machine learning and DeepLabCut in animal behavior Enthalten in Acta ethologica Bd. 25, 16.7.2022, Nr. 3, date:10.2022: 125-133
	33504	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
	33505	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
	33506	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
	33507	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
	33508	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
	33509	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
	33510	Using machine learning approaches to develop a fast and easy-to-perform diagnostic tool for patients with light chain amyloidosis: a retrospective real-world study Enthalten in Annals of hematology Bd. 103, 31.10.2024, Nr. 12, date:12.2024: 5781-5798

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