Katalog der Deutschen Nationalbibliothek

Ergebnis der Suche nach: "Machine Learning"
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35921 - 35930 von 36282

	35921	Using Machine Learning for Robust Target Prediction in a Basic Oxygen Furnace System Enthalten in Metallurgical and materials transactions / B / Process metallurgy and materials processing science Bd. 51, 29.5.2020, Nr. 4, date:8.2020: 1632-1645
	35922	Using machine learning for the assessment of ecological status of unmonitored waters in Poland Enthalten in Scientific reports Bd. 14, 18.10.2024, Nr. 1, date:12.2024: 1-14
	35923	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
	35924	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
	35925	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
	35926	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
	35927	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
	35928	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
	35929	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
	35930	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