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Ergebnis der Suche nach: "Machine Learning"
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27621 - 27630 von 27888
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Artikel 27621 Using natural language processing and machine learning to identify breast cancer local recurrence
Enthalten in BMC bioinformatics Bd. 19, 28.12.2018, Nr. 17, date:12.2018: 65-74
Online Ressource
Artikel 27622 Using of Machine Learning Capabilities to Predict Double Phosphate Structures for Biomedical Applications
Enthalten in Journal of surface investigation Bd. 18, 15.7.2024, Nr. 3, date:6.2024: 633-640
Online Ressource
Artikel 27623 USING OPEN DATA CUBE ON THE CLOUD TO INVESTIGATE FOOD SECURITY BY MEANS OF CROPLAND CHANGES IN DJIBOUTI
Enthalten in The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences Bd. XLIII-B3-2022, 2022: 1039-1044. 6 S.
Online Ressource
Artikel 27624 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 27625 Using Passive Multi-Modal Sensor Data for Thermal Simulation of Urban Surfaces
Enthalten in ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences Bd. X-2-2024, 2024: 17-24. 8 S.
Online Ressource
Artikel 27626 Using prognostic signatures and machine learning to identify core features associated with response to CDK4/6 inhibitor-based therapy in metastatic breast cancer
Enthalten in Oncogene Bd. 44, 26.2.2025, Nr. 19, date:5.2025: 1387-1399
Online Ressource
Artikel 27627 Using published pathway figures in enrichment analysis and machine learning
Enthalten in BMC genomics Bd. 24, 25.11.2023, Nr. 1, date:12.2023: 1-13
Online Ressource
Artikel 27628 Using quantum atomics and machine learning to advance picotechnology
Enthalten in Theoretical chemistry accounts Bd. 143, 26.9.2024, Nr. 10, date:10.2024: 1-9
Online Ressource
Artikel 27629 Using remote sensing data for geological mapping in semi-arid environment: a machine learning approach
Enthalten in Earth science informatics Bd. 15, 3.2.2022, Nr. 1, date:3.2022: 485-496
Online Ressource
Artikel 27630 Using remote sensing, process-based crop models, and machine learning to evaluate crop rotations across 20 million hectares in Western Australia
Enthalten in Agronomy for sustainable development Bd. 42, 12.12.2022, Nr. 6, date:12.2022: 1-14
Online Ressource


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