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26651 |
Rapid inverse design of metamaterials based on prescribed mechanical behavior through machine learning
Enthalten in Nature Communications Bd. 14, 18.9.2023, Nr. 1, date:12.2023: 1-11
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26652 |
Rapid mechanical evaluation of the engine hood based on machine learning
Enthalten in Associação Brasileira de Engenharia e Ciências Mecânicas: Journal of the Brazilian Society of Mechanical Sciences and Engineering Bd. 43, 13.6.2021, Nr. 7, date:7.2021: 1-17
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26653 |
Rapid metabolic profiling and authentication of Cordyceps using ambient ionization mass spectrometry and machine learning
Enthalten in Analytical and bioanalytical chemistry Bd. 417, 11.2.2025, Nr. 9, date:4.2025: 1935-1945
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26654 |
Rapid Post-Wildfire Burned Vegetation Assessment with Google Earth Engine (Case Study: 2023 Canada Wildfires)
Enthalten in The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences Bd. XLVIII-3/W3-2024, 2024: 45-53. 9 S.
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26655 |
Rapid segmentation and sensitive analysis of CRP with paper-based microfluidic device using machine learning
Enthalten in Analytical and bioanalytical chemistry Bd. 414, 30.3.2022, Nr. 13, date:5.2022: 3959-3970
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26656 |
Rapid traversal of vast chemical space using machine learning-guided docking screens
Enthalten in Nature computational science Bd. 5, 13.3.2025, Nr. 4, date:4.2025: 301-312
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26657 |
Rapid triage for ischemic stroke: a machine learning-driven approach in the context of predictive, preventive and personalised medicine
Enthalten in European Association for Predictive, Preventive and Personalised Medicine: The EPMA journal Bd. 13, 27.5.2022, Nr. 2, date:6.2022: 285-298
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26658 |
Rates of convergence for regression with the graph poly-Laplacian
Enthalten in Sampling theory, signal processing, and data analysis Bd. 21, 27.11.2023, Nr. 2, date:12.2023: 1-40
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26659 |
Rational design and glass-forming ability prediction of bulk metallic glasses via interpretable machine learning
Enthalten in Journal of materials science Bd. 58, 19.5.2023, Nr. 21, date:6.2023: 8833-8844
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26660 |
RCC-Supporter: supporting renal cell carcinoma treatment decision-making using machine learning
Enthalten in BMC medical informatics and decision making Bd. 24, 16.9.2024, Nr. 2, date:4.2024: 1-15
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