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16611 - 16620 von 16729
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Artikel 16611 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
Online Ressource
Artikel 16612 Using Nondeterminism to Design Efficient Deterministic Algorithms
Enthalten in Algorithmica Bd. 40, 16.4.2004, Nr. 2, date:10.2004: 83-97
Online Ressource
Artikel 16613 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
Online Ressource
Artikel 16614 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
Online Ressource
Artikel 16615 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
Online Ressource
Artikel 16616 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
Online Ressource
Artikel 16617 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
Online Ressource
Artikel 16618 Using simulated fluorescence cell micrographs for the evaluation of cell image segmentation algorithms
Enthalten in BMC bioinformatics Bd. 18, 18.3.2017, Nr. 1, date:12.2017: 1-12
Online Ressource
Artikel 16619 USING SMOS PASSIVE MICROWAVE DATA TO DEVELOP SMAP FREEZE/THAW ALGORITHMS ADAPTED FOR THE CANADIAN SUBARCTIC
Enthalten in The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences Bd. XL-1/W5, 2015: 365-368
Online Ressource
Artikel 16620 Using sound to understand protein sequence data: new sonification algorithms for protein sequences and multiple sequence alignments
Enthalten in BMC bioinformatics Bd. 22, 23.9.2021, Nr. 1, date:12.2021: 1-17
Online Ressource


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