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Neuigkeiten Vom 10. September 2025, 13 Uhr, bis 11. September 2025, 22 Uhr, kann es zu Einschränkungen bei der Bereitstellung von Medienwerken kommen. Wir informieren Sie per E-Mail über den aktuellen Stand Ihrer Bestellungen. // From 13:00 on 10 September 2025 until 22:00 on 11 September 2025, there may be restrictions on the provision of media works. We will inform you by email about the current status of your orders.
 
 
 


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

37241 - 37250 von 37534
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Artikel 37241 Using machine learning to translate tumor dependencies
Enthalten in Nature cancer Bd. 5, 23.7.2024, Nr. 8, date:8.2024: 1141-1142
Online Ressource
Artikel 37242 Using machine learning to understand social isolation and loneliness in schizophrenia, bipolar disorder, and the community
Enthalten in Schizophrenia Bd. 10, 5.10.2024, Nr. 1, date:12.2024: 1-8
Online Ressource
Artikel 37243 Using machine learning to understand the temporal morphology of the PM2.5 annual cycle in East Asia
Enthalten in Environmental monitoring and assessment Bd. 191, 28.6.2019, Nr. 2, date:6.2019: 1-14
Online Ressource
Artikel 37244 Using machine learning tools for protein database biocuration assistance
Enthalten in Scientific reports Bd. 8, 5.7.2018, Nr. 1, date:12.2018: 1-10
Online Ressource
Artikel 37245 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 37246 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 37247 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 37248 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 37249 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 37250 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


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