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

32601 - 32610 von 32687
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Artikel 32601 What do users in a polycystic ovary syndrome (PCOS) forum think about the treatments they tried: Analysing treatment sentiment using machine learning
Enthalten in Physical and engineering sciences in medicine Bd. 48, 14.4.2025, Nr. 2, date:6.2025: 723-741
Online Ressource
Artikel 32602 What do we want to know about MOOCs? Results from a machine learning approach to a systematic literature mapping review
Enthalten in International journal of educational technology in higher education Bd. 19, 14.10.2022, Nr. 1, date:12.2022: 1-22
Online Ressource
Artikel 32603 What drives urban redevelopment activity? Evidence from machine learning and econometric analysis in three American cities
Enthalten in Journal of geographical systems Bd. 26, 2.12.2024, Nr. 4, date:10.2024: 565-599
Online Ressource
Artikel 32604 What factors preventing the older adults in China from living longer: a machine learning study
Enthalten in BMC geriatrics Bd. 24, 22.7.2024, Nr. 1, date:12.2024: 1-11
Online Ressource
Artikel 32605 WHAT IDENTIFIES A WHALE BY ITS FLUKE? ON THE BENEFIT OF INTERPRETABLE MACHINE LEARNING FOR WHALE IDENTIFICATION
Enthalten in ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences Bd. V-2-2020, 2020: 1005-1012
Online Ressource
Artikel 32606 What influences the perception of fairness in urban and rural China? An analysis using machine learning
Enthalten in Humanities and Social Sciences Communications Bd. 12, 10.10.2025, Nr. 1, date:12.2025: 1-14
Online Ressource
Artikel 32607 What is the impact of national public expenditure and its allocation on neonatal and child mortality? A machine learning analysis
Enthalten in BMC public health Bd. 23, 28.4.2023, Nr. 1, date:12.2023: 1-11
Online Ressource
Artikel 32608 What Machine Learning Can Do for Focusing Aerogel Detectors
Enthalten in Physics of atomic nuclei Bd. 86, 9.11.2023, Nr. 5, date:10.2023: 864-868
Online Ressource
Artikel 32609 What makes on-farm experimental data suitable for data-driven decision-making? Implications of trial design and spatial distribution of field data for machine learning models
Enthalten in Precision agriculture Bd. 26, 20.9.2025, Nr. 5, date:10.2025: 1-23
Online Ressource
Artikel 32610 What We Are Missing: Using Machine Learning Models to Predict Vitamin C Deficiency in Patients with Metabolic and Bariatric Surgery
Enthalten in Obesity surgery Bd. 33, 15.4.2023, Nr. 6, date:6.2023: 1710-1719
Online Ressource


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