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Ergebnis der Suche nach: "Machine Learning"
im Bestand: Gesamter Bestand

27651 - 27660 von 27927
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Artikel 27651 Using machine learning tools to predict outcomes for emergency department intensive care unit patients
Enthalten in Scientific reports Bd. 10, 1.12.2020, Nr. 1, date:12.2020: 1-10
Online Ressource
Artikel 27652 Using machine learning with case studies to identify practices that reduce greenhouse gas emissions across Australian grain production regions
Enthalten in Agronomy for sustainable development Bd. 43, 20.3.2023, Nr. 2, date:4.2023: 1-11
Online Ressource
Artikel 27653 Using matrix assisted laser desorption ionisation mass spectrometry combined with machine learning for vaccine authenticity screening
Enthalten in npj vaccines Bd. 9, 28.8.2024, Nr. 1, date:12.2024: 1-14
Online Ressource
Artikel 27654 Using mid-infrared spectroscopy and supervised machine-learning to identify vertebrate blood meals in the malaria vector, Anopheles arabiensis
Enthalten in Malaria journal Bd. 18, 30.5.2019, Nr. 1, date:12.2019: 1-9
Online Ressource
Artikel 27655 Using music to soothe our patients, measuring hair cortisol, and machine learning in diabetes: Prof. Batrinos would have been very happy!
Enthalten in Hormones Bd. 22, 10.11.2023, Nr. 4, date:12.2023: 533-535
Online Ressource
Artikel 27656 Using natural history to guide supervised machine learning for cryptic species delimitation with genetic data
Enthalten in Frontiers in zoology Bd. 19, 22.2.2022, Nr. 1, date:12.2022: 1-15
Online Ressource
Artikel 27657 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 27658 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 27659 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 27660 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


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