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Ergebnis der Suche nach: "Machine Learning"
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27641 - 27650 von 27997
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Artikel 27641 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
Online Ressource
Artikel 27642 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 27643 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 27644 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 27645 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 27646 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 27647 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 27648 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 27649 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 27650 Using Machine Learning Methods to Predict the Magnitude and the Direction of Mask Fragments Displacement in Optical Proximity Correction (OPC)
Enthalten in Optical memory and neural networks Bd. 30, 29.12.2021, Nr. 4, date:10.2021: 291-297
Online Ressource


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