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Ergebnis der Suche nach: "Machine Learning"
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26931 - 26940 von 31600

	26931	Novel phase adjournment data capturing technique for a mobile object in wireless sensor network Enthalten in International journal of information technology Bd. 16, 30.12.2023, Nr. 2, date:2.2024: 993-1004
	26932	Novel residual hybrid machine learning for solar activity prediction in smart cities Enthalten in Earth science informatics Bd. 16, 1.11.2023, Nr. 4, date:12.2023: 3931-3945
	26933	Novel Surface Topography and Microhardness Characterization of Laser Clad Layer on TC4 Titanium Alloy Using Laser-Induced Breakdown Spectroscopy and Machine Learning Enthalten in Metallurgical and materials transactions / A / Physical metallurgy and materials science Bd. 53, 14.8.2022, Nr. 10, date:10.2022: 3639-3653
	26934	Novelty class detection in machine learning-based condition diagnosis Enthalten in Journal of mechanical science and technology Bd. 37, 23.2.2023, Nr. 3, date:3.2023: 1145-1154
	26935	Nowcasting Finnish real economic activity: a machine learning approach Enthalten in Empirical economics Bd. 58, 30.11.2019, Nr. 1, date:1.2020: 55-71
	26936	NSS-ML: a Novel spectrum sensing framework using machine learning for cognitive radio IoT networks Enthalten in International journal of information technology Bd. 16, 12.8.2024, Nr. 7, date:10.2024: 4599-4604
	26937	Nuclear deformation effects on $$\alpha$$ α -decay half-lives with empirical formula and machine learning Enthalten in Nuclear science and techniques Bd. 36, 24.7.2025, Nr. 10, date:10.2025: 1-14
	26938	Nuclear morphometrics coupled with machine learning identifies dynamic states of senescence across age Enthalten in Nature Communications Bd. 16, 7.7.2025, Nr. 1, date:12.2025: 1-12
	26939	Number Density Descriptor on Extended-Connectivity Fingerprints Combined with Machine Learning Approaches for Predicting Polymer Properties Enthalten in MRS advances Bd. 3, 21.5.2018, Nr. 49, date:10.2018: 2975-2980
	26940	Numerical and machine learning based evaluation of ethylene glycol based hybrid nano-structured (TiO 2 -SWCNTs) fluid flow Enthalten in Scientific reports Bd. 15, 19.2.2025, Nr. 1, date:12.2025: 1-16

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