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Ergebnis der Suche nach: "Machine Learning"
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16151 - 16160 von 16966

	16151	Steel surface roughness parameter prediction from laser reflection data using machine learning models Enthalten in The international journal of advanced manufacturing technology Bd. 132, 24.4.2024, Nr. 9-10, date:6.2024: 4645-4662
	16152	Stepwise integration of analytical hierarchy process with machine learning algorithms for landslide, gully erosion and flash flood susceptibility mapping over the North-Moungo perimeter, Cameroon Enthalten in Geoenvironmental Disasters Bd. 10, 13.10.2023, Nr. 1, date:12.2023: 1-27
	16153	Stochastic and multi-objective design of photonic devices with machine learning Enthalten in Scientific reports Bd. 14, 26.3.2024, Nr. 1, date:12.2024: 1-11
	16154	Stock market anomalies and machine learning across the globe Enthalten in The journal of asset management Bd. 24, 20.7.2023, Nr. 5, date:9.2023: 419-441
	16155	Strategic reuse of rapid antigen tests for coagulation status assessment: an integrated machine learning approach Enthalten in Med-X Bd. 2, 18.7.2024, Nr. 1, date:12.2024: 1-15
	16156	Strategies for overcoming data scarcity, imbalance, and feature selection challenges in machine learning models for predictive maintenance Enthalten in Scientific reports Bd. 14, 26.4.2024, Nr. 1, date:12.2024: 1-14
	16157	StratoMod: predicting sequencing and variant calling errors with interpretable machine learning Enthalten in Communications biology Bd. 7, 13.10.2024, Nr. 1, date:12.2024: 1-14
	16158	Streamflow classification by employing various machine learning models for peninsular Malaysia Enthalten in Scientific reports Bd. 13, 4.9.2023, Nr. 1, date:12.2023: 1-23
	16159	Streamflow prediction using a hybrid methodology based on variational mode decomposition (VMD) and machine learning approaches Enthalten in Applied water science Bd. 13, 17.5.2023, Nr. 6, date:6.2023: 1-18
	16160	Streamflow prediction using support vector regression machine learning model for Tehri Dam Enthalten in Applied water science Bd. 14, 13.4.2024, Nr. 5, date:5.2024: 1-20

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