Katalog der Deutschen Nationalbibliothek

Ergebnis der Suche nach: "Machine Learning"
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501 - 510 von 27997

	501	Predicting Online Education Dropout: A new Machine Learning Model based on Sentiment Analysis, Socio-demographic, and Behavioral Data Enthalten in International journal of artificial intelligence in education 11.4.2025: 1-27
	502	A post-hoc analysis of intravitreal aflibercept-treated nAMD patients from ARIES & ALTAIR: predicting treatment intervals and frequency for aflibercept treat-and-extend therapy regimen using machine learning Enthalten in Graefe's archive for clinical and experimental ophthalmology 10.4.2025: 1-13
	503	Assessing the predictive capability of several machine learning algorithms to forecast snow avalanches using numerical weather prediction model in eastern Canada Enthalten in EGUsphere 10.04.2025: 1-28. 28 S.
	504	Clustering decision making units (DMUs) in data envelopment analysis (DEA) with integer data in order to benchmark them through a series of steps Enthalten in International journal of information technology 10.4.2025: 1-15
	505	Formability Prediction of Anisotropic Thin Sheets Using Machine Learning Framework: Influence of Pre-Strain and Temperature Enthalten in Journal of materials engineering and performance 10.4.2025: 1-23
	506	From simulations to reality: enhancing multi-robot exploration for urban search and rescue Enthalten in International journal of information technology 10.4.2025: 1-12
	507	GWWAES: a hybrid optimization method to secure IoT networks Enthalten in International journal of information technology 10.4.2025: 1-7
	508	Improving public transport through machine learning influence flow analysis (MIFA): Southern England bus case study Enthalten in Public transport 10.4.2025: 1-41
	509	Machine Learning as an Innovative Engineering Tool for Controlling Concrete Performance: A Comprehensive Review Enthalten in Archives of computational methods in engineering 10.4.2025: 1-45
	510	Realizing Ultra-fast Spheroidization of GCr15 Bearing Steel by Analyzing the Correlation of Carbide Dissolution Law and Pulsed Electric Current Parameters Through Machine Learning Enthalten in Acta metallurgica Sinica / English letters 10.4.2025: 1-12

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