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15521 - 15530 von 15539
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Artikel 15521 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 15522 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 15523 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 15524 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
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Artikel 15525 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 15526 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 15527 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
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Artikel 15528 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
Artikel 15529 WOOD-LEAF UNSUPERVISED CLASSIFICATION OF SILVER BIRCH TREES FOR BIOMASS ASSESSMENT USING OBLIQUE POINT CLOUDS
Enthalten in The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences Bd. XLVIII-1/W2-2023, 2023: 1795-1802. 8 S.
Online Ressource
Artikel 15530 WorMachine: machine learning-based phenotypic analysis tool for worms
Enthalten in BMC biology Bd. 16, 16.1.2018, Nr. 1, date:12.2018: 1-11
Online Ressource


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