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Artikel 12491 Why and how to construct an epistemic justification of machine learning?
Enthalten in Synthese Bd. 204, 10.8.2024, Nr. 2, date:8.2024: 1-24
Online Ressource
Artikel 12492 Wide dynamic range and real-time reagent identification and imaging using multi-wavelength terahertz parametric generation and machine learning
Enthalten in Scientific reports Bd. 13, 7.8.2023, Nr. 1, date:12.2023: 1-8
Online Ressource
Artikel 12493 Wildfire assessment using machine learning algorithms in different regions
Enthalten in Fire ecology Bd. 20, 3.12.2024, Nr. 1, date:12.2024: 1-20
Online Ressource
Artikel 12494 Wind farm sites selection using a machine learning approach and geographical information systems in Türkiye
Enthalten in Discover computing Bd. 28, 27.3.2025, Nr. 1, date:12.2025: 1-18
Online Ressource
Artikel 12495 Wind speed prediction based on variational mode decomposition and advanced machine learning models in zaafarana, Egypt
Enthalten in Scientific reports Bd. 15, 4.5.2025, Nr. 1, date:12.2025: 1-12
Online Ressource
Artikel 12496 Wind speed prediction for site selection and reliable operation of wind power plants in coastal regions using machine learning algorithm variants
Enthalten in Sustainable energy research Bd. 11, 1.2.2024, Nr. 1, date:12.2024: 1-26
Online Ressource
Artikel 12497 Wing Interferential Patterns (WIPs) and machine learning for the classification of some Aedes species of medical interest
Enthalten in Scientific reports Bd. 13, 17.10.2023, Nr. 1, date:12.2023: 1-12
Online Ressource
Artikel 12498 Wing Interferential Patterns (WIPs) and machine learning, a step toward automatized tsetse (Glossina spp.) identification
Enthalten in Scientific reports Bd. 12, 22.11.2022, Nr. 1, date:12.2022: 1-15
Online Ressource
Artikel 12499 Winning determinants between top and second division in Chinese professional football leagues: an interpretable machine learning approach
Enthalten in BMC sports science, medicine & rehabilitation Bd. 17, 21.4.2025, Nr. 1, date:12.2025: 1-11
Online Ressource
Artikel 12500 With super SDMs (machine learning, open access big data, and the cloud) towards more holistic global squirrel hotspots and coldspots
Enthalten in Scientific reports Bd. 14, 3.3.2024, Nr. 1, date:12.2024: 1-10
Online Ressource


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