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17561 - 17570 von 17689

	17561	Using metaheuristic algorithms to optimize a mixed model-based ground-motion prediction model and associated variance components Enthalten in Journal of seismology Bd. 26, 4.5.2022, Nr. 3, date:6.2022: 483-498
	17562	Using multi-objective evolutionary algorithms for single-objective constrained and unconstrained optimization Enthalten in Annals of operations research Bd. 240, 22.9.2015, Nr. 1, date:5.2016: 217-250
	17563	Using multi-objective evolutionary algorithms to predict the parameters that determine membrane resonance in a biophysical model of bursting neurons Enthalten in BMC neuroscience Bd. 15, 21.7.2014, Nr. 1, date:7.2014: 1-2
	17564	Using multivariate adaptive regression splines and extremely randomized trees algorithms to predict dust events frequency around an international wetland and prioritize its drivers Enthalten in Environmental monitoring and assessment Bd. 193, 22.6.2021, Nr. 7, date:7.2021: 1-21
	17565	Using Nondeterminism to Design Efficient Deterministic Algorithms Enthalten in Algorithmica Bd. 40, 16.4.2004, Nr. 2, date:10.2004: 83-97
	17566	Using of Genetic Algorithms for Adaptive Filter Selection in Special-Purpose Systems Enthalten in Russian journal of general chemistry Bd. 91, 17.1.2022, Nr. 12, date:12.2021: 2734-2736
	17567	Using Optimized Deep Learning to Predict Daily Streamflow: A Comparison to Common Machine Learning Algorithms Enthalten in Water resources management Bd. 36, 17.1.2022, Nr. 2, date:1.2022: 699-716
	17568	Using primary care data to evaluate the 10-year cost-effectiveness of cardiovascular disease risk algorithms in patients with serious mental illness: a patient level simulation Enthalten in Trials Bd. 16, 16.11.2015, Nr. 2, date:12.2015: 1
	17569	Using sentinel-2 satellite images and machine learning algorithms to predict tropical pasture forage mass, crude protein, and fiber content Enthalten in Scientific reports Bd. 14, 15.4.2024, Nr. 1, date:12.2024: 1-14
	17570	Using simulated execution in verifying distributed algorithms Enthalten in International journal on software tools for technology transfer Bd. 6, 6.4.2004, Nr. 1, date:7.2004: 67-76

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