Katalog der Deutschen Nationalbibliothek

Ergebnis der Suche nach: tit all "Machine Learning Techniques"
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11 - 20 von 1563

	11	Enhancing Long-Term Reservoir Inflow Forecasting: An Integrated Approach Combining Switch Prediction Method, Ensemble Rainfall Forecasts, and Machine Learning Techniques Enthalten in EGUsphere 04.07.2025: 1-33. 33 S.
	12	Unstained Blood Smear Analysis: A Review of Rule‐Based, Machine Learning, and Deep Learning Techniques Enthalten in Journal of biophotonics 30.06.2025. 22 S.
	13	Predictive modeling of peak friction stir processing temperature for Mg $$_4$$ 4 Y $$_3$$ 3 NdZr/Al/Ti/Sn hybrid composites using data-augmented machine learning techniques Enthalten in International journal on interactive design and manufacturing 23.5.2025: 1-19
	14	Comprehensive Review on the Use of Machine Learning Techniques Applied to the Ultrasound Data for the Characterisation of Porosity across Carbon Fibre Reinforced Polymer Layers Enthalten in Applied composite materials 21.5.2025: 1-25
	15	Comparison of Machine Learning Techniques for Mineral Resource Categorization in a Copper Deposit in Peru Enthalten in Natural resources research 18.5.2025: 1-19
	16	Fault Diagnosis of Journal Bearings Using Vibration Analysis and Machine Learning Techniques Enthalten in Journal of failure analysis and prevention 8.5.2025: 1-14
	17	Prediction of Cutting Surface Roughness of Compacted Graphite Iron (CGI) Based on Machine Learning Techniques Enthalten in Iranian journal of science and technology / Transactions of mechanical engineering 8.5.2025: 1-8
	18	A Systematic Review on Machine Learning Techniques for Liver Disease Detection Enthalten in Biomedical materials & devices 5.5.2025: 1-26
	19	Enhancing Currency Option Pricing Models: Incorporating Dynamic Information Costs and Machine Learning Techniques Enthalten in Computational economics 3.5.2025: 1-40
	20	Artificial intelligence and machine learning in cybersecurity: a deep dive into state-of-the-art techniques and future paradigms Enthalten in Knowledge and information systems 30.4.2025: 1-87