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Ergebnis der Suche nach: "Machine Learning"
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26941 - 26950 von 31617

	26941	Novel method for predicting the cracks of oxide scales during high temperature oxidation of metals and alloys by using machine learning Enthalten in Scientific reports Bd. 15, 5.3.2025, Nr. 1, date:12.2025: 1-15
	26942	Novel method of building train and test sets for evaluation of machine learning models related to software bugs assignment Enthalten in Scientific reports Bd. 13, 6.12.2023, Nr. 1, date:12.2023: 1-11
	26943	Novel models by machine learning to predict prognosis of breast cancer brain metastases Enthalten in Journal of translational medicine Bd. 21, 21.6.2023, Nr. 1, date:12.2023: 1-18
	26944	Novel models by machine learning to predict the risk of cardiac disease-specific death in young patients with breast cancer Enthalten in Discover oncology Bd. 15, 18.12.2024, Nr. 1, date:12.2024: 1-13
	26945	Novel molecular inhibitor design for Plasmodium falciparum Lactate dehydrogenase enzyme using machine learning generated library of diverse compounds Enthalten in Molecular diversity Bd. 28, 20.8.2024, Nr. 4, date:8.2024: 2331-2344
	26946	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
	26947	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
	26948	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
	26949	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
	26950	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

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