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Ergebnis der Suche nach: "Machine Learning"
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26711 - 26720 von 27636
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Artikel 26711 The impact of iterative reconstruction algorithms on machine learning-based coronary CT angiography-derived fractional flow reserve (CT-FFRML) values
Enthalten in The international journal of cardiovascular imaging Bd. 36, 4.3.2020, Nr. 6, date:6.2020: 1177-1185
Online Ressource
Artikel 26712 The impact of Markov model to predict the status of children with congenital heart disease at post-operative ICU
Enthalten in International journal of information technology Bd. 15, 3.8.2023, Nr. 6, date:8.2023: 3285-3292
Online Ressource
Artikel 26713 The impact of physicochemical features of carbon electrodes on the capacitive performance of supercapacitors: a machine learning approach
Enthalten in Scientific reports Bd. 13, 20.4.2023, Nr. 1, date:12.2023: 1-16
Online Ressource
Artikel 26714 The Impact of the Wuhan Covid-19 Lockdown on Air Pollution and Health: A Machine Learning and Augmented Synthetic Control Approach
Enthalten in Environmental and resource economics Bd. 76, 10.8.2020, Nr. 4, date:8.2020: 553-580
Online Ressource
Artikel 26715 The implications of machine learning in predicting glioblastoma recurrence: a correspondence
Enthalten in Neurosurgical review Bd. 47, 17.4.2024, Nr. 1, date:12.2024: 1-2
Online Ressource
Artikel 26716 The importance of expert knowledge in big data and machine learning
Enthalten in Synthese Bd. 201, 20.1.2023, Nr. 2, date:2.2023: 1-21
Online Ressource
Artikel 26717 The Importance of Forecasting in Industrial Enterprise Management Using Machine Learning
Enthalten in Scientific and technical information processing Bd. 49, 6.3.2023, Nr. 5, date:12.2022: 393-398
Online Ressource
Artikel 26718 The importance of interpreting machine learning models for blood glucose prediction in diabetes: an analysis using SHAP
Enthalten in Scientific reports Bd. 13, 6.10.2023, Nr. 1, date:12.2023: 1-13
Online Ressource
Artikel 26719 The importance of planning CT-based imaging features for machine learning-based prediction of pain response
Enthalten in Scientific reports Bd. 13, 13.10.2023, Nr. 1, date:12.2023: 1-11
Online Ressource
Artikel 26720 The infection post flexible UreteroreNoscopy (I-FUN) predictive model based on machine learning: a new clinical tool to assess the risk of sepsis post retrograde intrarenal surgery for kidney stone disease
Enthalten in World journal of urology Bd. 42, 1.11.2024, Nr. 1, date:12.2024: 1-9
Online Ressource


26711 - 26720 von 27636
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