Katalog der Deutschen Nationalbibliothek

Ergebnis der Suche nach: "Machine Learning"
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43311 - 43320 von 43732

	43311	Using machine learning for model benchmarking and forecasting of depletion-induced seismicity in the Groningen gas field Enthalten in Computational geosciences Bd. 25, 3.1.2021, Nr. 1, date:2.2021: 529-551
	43312	Using machine learning for predicting cancer-specific mortality in bladder cancer patients undergoing radical cystectomy: a SEER-based study Enthalten in BMC cancer Bd. 25, 21.3.2025, Nr. 1, date:12.2025: 1-13
	43313	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
	43314	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
	43315	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
	43316	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
	43317	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
	43318	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
	43319	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
	43320	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

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