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Ergebnis der Suche nach: "Machine Learning"
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26961 - 26970 von 31600

	26961	Observation of dendrite formation at Li metal-electrolyte interface by a machine-learning enhanced constant potential framework Enthalten in Nature Communications Bd. 16, 11.8.2025, Nr. 1, date:12.2025: 1-13
	26962	Observing flow of He II with unsupervised machine learning Enthalten in Scientific reports Bd. 12, 27.11.2022, Nr. 1, date:12.2022: 1-9
	26963	Obstructing Classification via Projection Enthalten in Computing in Geometry and Topology Bd. 1, 08.10.2022, Nr. 1
	26964	Oceanic sediment accumulation rates predicted via machine learning algorithm: towards sediment characterization on a global scale Enthalten in Geo-marine letters Bd. 40, 29.8.2020, Nr. 5, date:10.2020: 755-763
	26965	OCR-MRD: performance analysis of different optical character recognition engines for medical report digitization Enthalten in International journal of information technology Bd. 16, 24.11.2023, Nr. 1, date:1.2024: 447-455
	26966	OCS-Net: a novel approach for oral carcinoma stage classification using generative adversarial networks and genetic algorithm-based convolutional neural networks Enthalten in International journal of information technology Bd. 15, 5.10.2023, Nr. 8, date:12.2023: 4097-4110
	26967	OCT-based diagnosis of glaucoma and glaucoma stages using explainable machine learning Enthalten in Scientific reports Bd. 15, 28.1.2025, Nr. 1, date:12.2025: 1-20
	26968	Oculomics for sarcopenia prediction: a machine learning approach toward predictive, preventive, and personalized medicine Enthalten in European Association for Predictive, Preventive and Personalised Medicine: The EPMA journal Bd. 13, 8.8.2022, Nr. 3, date:9.2022: 367-382
	26969	Od-ids2022: generating a new offensive defensive intrusion detection dataset for machine learning-based attack classification Enthalten in International journal of information technology Bd. 15, 14.9.2023, Nr. 8, date:12.2023: 4349-4363
	26970	Österreichweite Regionalisierung bodenhydraulischer Eigenschaften Enthalten in Österreichische Wasser- und Abfallwirtschaft Bd. 74, 25.1.2022, Nr. 3-4, date:4.2022: 166-178

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