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

43211 - 43220 von 43626
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Artikel 43211 Using machine learning for timing analysis: where do we stand?
Enthalten in Real-time systems Bd. 61, 29.5.2025, Nr. 2, date:6.2025: 300-305
Online Ressource
Artikel 43212 Using Machine Learning Hardware to Solve Linear Partial Differential Equations with Finite Difference Methods
Enthalten in International journal of parallel programming Bd. 53, 4.3.2025, Nr. 2, date:4.2025: 1-22
Online Ressource
Artikel 43213 Using machine learning in pediatric cardio-oncology: we have the questions, we need the answers
Enthalten in Cardio-Oncology Bd. 10, 6.11.2024, Nr. 1, date:12.2024: 1-3
Online Ressource
Artikel 43214 Using machine learning involving diagnoses and medications as a risk prediction tool for post-acute sequelae of COVID-19 (PASC) in primary care
Enthalten in BMC medicine Bd. 23, 30.4.2025, Nr. 1, date:12.2025: 1-12
Online Ressource
Artikel 43215 Using machine learning method to predict food waste in catering industry under high resolution: a case in Dongguan
Enthalten in Journal of material cycles and waste management Bd. 25, 20.5.2023, Nr. 4, date:7.2023: 2442-2456
Online Ressource
Artikel 43216 Using Machine Learning Methods to Develop an Algorithm for Recognizing a Risk of Waterspout Occurrence off the Black Sea Coast of Russia
Enthalten in Russian meteorology and hydrology Bd. 49, 27.6.2024, Nr. 4, date:4.2024: 363-369
Online Ressource
Artikel 43217 Using machine learning methods to predict 28-day mortality in patients with hepatic encephalopathy
Enthalten in BMC gastroenterology Bd. 23, 6.4.2023, Nr. 1, date:12.2023: 1-11
Online Ressource
Artikel 43218 Using machine learning methods to predict electric vehicles penetration in the automotive market
Enthalten in Scientific reports Bd. 13, 23.5.2023, Nr. 1, date:12.2023: 1-16
Online Ressource
Artikel 43219 Using machine learning methods to predict in-hospital mortality of sepsis patients in the ICU
Enthalten in BMC medical informatics and decision making Bd. 20, 2.10.2020, Nr. 1, date:12.2020: 1-10
Online Ressource
Artikel 43220 Using Machine Learning Methods to Predict the Ductile-to-Brittle Transition Temperature Shift in RPV Steel Under Different Pulse Current Parameters
Enthalten in Acta metallurgica Sinica / English letters Bd. 38, 24.4.2025, Nr. 6, date:6.2025: 1029-1040
Online Ressource


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