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15431 - 15440 von 16715

	15431	Rapid detection of honey adulteration using machine learning on gas sensor data Enthalten in npj science of food Bd. 9, 15.5.2025, Nr. 1, date:12.2025: 1-9
	15432	Rapid development of accurate artificial intelligence scoring for colitis disease activity using applied data science techniques Enthalten in Endoscopy International Open Bd. 10, 2022, Nr. 04: E539-E543
	15433	Rapid identification of tumor patients with PG-SGA ≥ 4 based on machine learning: a prospective study Enthalten in BMC cancer Bd. 25, 20.5.2025, Nr. 1, date:12.2025: 1-12
	15434	Rapid inverse design of metamaterials based on prescribed mechanical behavior through machine learning Enthalten in Nature Communications Bd. 14, 18.9.2023, Nr. 1, date:12.2023: 1-11
	15435	Rapid Post-Wildfire Burned Vegetation Assessment with Google Earth Engine (Case Study: 2023 Canada Wildfires) Enthalten in The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences Bd. XLVIII-3/W3-2024, 2024: 45-53. 9 S.
	15436	Rapid traversal of vast chemical space using machine learning-guided docking screens Enthalten in Nature computational science Bd. 5, 13.3.2025, Nr. 4, date:4.2025: 301-312
	15437	Rapid triage for ischemic stroke: a machine learning-driven approach in the context of predictive, preventive and personalised medicine Enthalten in European Association for Predictive, Preventive and Personalised Medicine: The EPMA journal Bd. 13, 27.5.2022, Nr. 2, date:6.2022: 285-298
	15438	Rates of convergence for regression with the graph poly-Laplacian Enthalten in Sampling theory, signal processing, and data analysis Bd. 21, 27.11.2023, Nr. 2, date:12.2023: 1-40
	15439	RCC-Supporter: supporting renal cell carcinoma treatment decision-making using machine learning Enthalten in BMC medical informatics and decision making Bd. 24, 16.9.2024, Nr. 2, date:4.2024: 1-15
	15440	Re-assessing accuracy degradation: a framework for understanding DNN behavior on similar-but-non-identical test datasets Enthalten in Machine learning Bd. 114, 14.2.2025, Nr. 3, date:3.2025: 1-22

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