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

43421 - 43430 von 43754
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Artikel 43421 Using machine learning to speed up manual image annotation: application to a 3D imaging protocol for measuring single cell gene expression in the developing C. elegans embryo
Enthalten in BMC bioinformatics Bd. 11, 11.2.2010, Nr. 1, date:12.2010: 1-13
Online Ressource
Artikel 43422 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 43423 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 43424 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 43425 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 43426 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 43427 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 43428 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 43429 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 43430 Using multiple machine learning algorithms to predict spinal cord injury in patients with cervical spondylosis: a multicenter study
Enthalten in Scientific reports Bd. 15, 27.10.2025, Nr. 1, date:12.2025: 1-13
Online Ressource


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