Katalog der Deutschen Nationalbibliothek

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

471 - 480 von 27470

	471	Hybrid deep learning for climate prediction with temporal, spatial, and environmental data Enthalten in International journal of information technology 27.3.2025: 1-14
	472	Hybrid Machine Learning Models for Discharge Coefficient Prediction in Hydrofoil-Crested Stepped Spillways Enthalten in Archives of computational methods in engineering 27.3.2025: 1-33
	473	Predicting early ASD traits of adults and toddlers using machine learning and deep learning with explainable AI and optimization Enthalten in Neural computing & applications 27.3.2025: 1-28
	474	Software-optimized dynamic traffic padding for enhancing privacy in smart home IOT networks Enthalten in International journal of information technology 27.3.2025: 1-13
	475	TREEMA: an implementation of resilient and transparent consensus learning on Web3 Enthalten in International journal of information technology 27.3.2025: 1-15
	476	Responsive Molecules for Organic Neuromorphic Devices: Harnessing Memory Diversification Enthalten in Advanced materials 26.03.2025. 28 S.
	477	Application and optimization of digital situated teaching in university finance courses from a constructivist perspective: An analysis based on machine learning algorithms Enthalten in Education and information technologies 26.3.2025: 1-30
	478	Deployment of neural networks for WLAN thumbprint indoor positioning system Enthalten in International journal of information technology 26.3.2025: 1-7
	479	Designing a hybrid neural network framework for real-time anomaly detection in cybersecurity applications Enthalten in International journal of information technology 26.3.2025: 1-7
	480	Enhancing PID control robustness in CSTRs: a hybrid approach to tuning under external disturbances with GA, PSO, and machine learning Enthalten in Neural computing & applications 26.3.2025: 1-25

471 - 480 von 27470

Alle Materialarten > Artikel (27470)

Alle Standorte

Aktionen