Katalog der Deutschen Nationalbibliothek

Ergebnis der Suche nach: "Machine Learning"
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16051 - 16060 von 16806

	16051	Superior electroadhesion force with permittivity-engineered bilayer films using electrostatic simulation and machine learning approaches Enthalten in Scientific reports Bd. 14, 24.7.2024, Nr. 1, date:12.2024: 1-9
	16052	Superior printed parts using history and augmented machine learning Enthalten in npj computational materials Bd. 8, 23.8.2022, Nr. 1, date:12.2022: 1-10
	16053	SUPERVISED IMAGE CLASSIFICATION MODEL FOR CORAL BLEACHING DETECTION USING A BI-TEMPORAL SENTINEL-2 IMAGE STACK Enthalten in The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences Bd. XLVIII-4/W8-2023, 2024: 395-401. 7 S.
	16054	Supervised machine learning algorithms for predicting student dropout and academic success: a comparative study Enthalten in Discover artificial intelligence Bd. 4, 4.1.2024, Nr. 1, date:12.2024: 1-24
	16055	Supervised Machine Learning-Based Decision Support for Signal Validation Classification Enthalten in Drug safety Bd. 45, 17.5.2022, Nr. 5, date:5.2022: 583-596
	16056	Supervised machine learning-based Hall thruster scaling Enthalten in Journal of electric propulsion Bd. 3, 1.8.2024, Nr. 1, date:12.2024: 1-23
	16057	Supervised machine learning-based salp swarm algorithm for fault diagnosis of photovoltaic systems Enthalten in Journal of engineering and applied science Bd. 71, 5.1.2024, Nr. 1, date:12.2024: 1-17
	16058	Supervised machine learning classification of psychosis biotypes based on brain structure: findings from the Bipolar-Schizophrenia network for intermediate phenotypes (B-SNIP) Enthalten in Scientific reports Bd. 13, 10.8.2023, Nr. 1, date:12.2023: 1-11
	16059	Supervised Machine Learning mit Nutzergenerierten Inhalten: Oversampling für nicht balancierte Trainingsdaten Enthalten in Publizistik Bd. 65, 21.4.2020, Nr. 2, date:5.2020: 233-251
	16060	Supervised machine learning of outbred mouse genotypes to predict hepatic immunological tolerance of individuals Enthalten in Scientific reports Bd. 14, 17.10.2024, Nr. 1, date:12.2024: 1-9