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15611 |
Which are best for successful aging prediction? Bagging, boosting, or simple machine learning algorithms?
Enthalten in Biomedical engineering online Bd. 22, 29.8.2023, Nr. 1, date:12.2023: 1-25
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15612 |
Which surrogate insulin resistance indices best predict coronary artery disease? A machine learning approach
Enthalten in Cardiovascular diabetology Bd. 23, 21.6.2024, Nr. 1, date:12.2024: 1-13
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15613 |
Whole-orbit radiomics: machine learning-based multi- and fused- region radiomics signatures for intravenous glucocorticoid response prediction in thyroid eye disease
Enthalten in Journal of translational medicine Bd. 22, 13.1.2024, Nr. 1, date:12.2024: 1-14
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15614 |
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
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15615 |
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
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15616 |
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
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15617 |
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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15618 |
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
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15619 |
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
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15620 |
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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