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Neuigkeiten Donnerstag, 11. September 2025: Die Deutsche Nationalbibliothek öffnet wegen eines Beschäftigtentreffens an beiden Standorten erst um 15 Uhr. // Thursday, 11 September 2025: The German National Library will not open until 15:00 due to a staff meeting at both locations.
 
 
 


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

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Artikel 38751 Warranty-driven reliability analysis: a stochastic model for continuous solar power supply system with two photovoltaic cells and an inverter
Enthalten in International journal of information technology Bd. 17, 18.11.2024, Nr. 1, date:1.2025: 279-292
Online Ressource
Artikel 38752 Warum wir immer noch am Anfang sind
Enthalten in Digitale Welt Bd. 4, 3.6.2020, Nr. 3, date:7.2020: 18-20
Online Ressource
Artikel 38753 Was kann digitales Versichern? — Künstliche Intelligenz und Maschinenlernen auf dem Vertrauensprüfstand
Enthalten in Digitale Welt Bd. 5, 11.6.2021, Nr. 3, date:7.2021: 61-62
Online Ressource
Artikel 38754 Was wirklich bleibt: KI und deren praktische Anwendung
Enthalten in Digitale Welt Bd. 6, 15.9.2022, Nr. 4, date:10.2022: 52-55
Online Ressource
Artikel 38755 Wasserstein-based fairness interpretability framework for machine learning models
Enthalten in Machine learning Bd. 111, 21.7.2022, Nr. 9, date:9.2022: 3307-3357
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Artikel 38756 Wastewater treatment plant site selection using advanced decision tree machine learning and remote sensing techniques
Enthalten in Environmental science and pollution research Bd. 32, 16.12.2024, Nr. 1, date:1.2025: 234-247
Online Ressource
Artikel 38757 Water jet angle prediction in supersonic crossflows: Euler–Lagrange and machine learning approaches
Enthalten in The European physical journal / Plus Bd. 139, 14.3.2024, Nr. 3, date:3.2024: 1-21
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Artikel 38758 Water Quality Evaluation and Monitoring Model (WQEM) Using Machine Learning Techniques with IoT
Enthalten in Water resources Bd. 51, 19.11.2024, Nr. 6, date:12.2024: 1094-1110
Online Ressource
Artikel 38759 Water quality parameters retrieval and nutrient status evaluation based on machine learning methods and Sentinel- 2 imagery: a case study of the Hongjiannao Lake
Enthalten in Environmental monitoring and assessment Bd. 197, 15.4.2025, Nr. 5, date:5.2025: 1-17
Online Ressource
Artikel 38760 Water Quality Prediction Method Coupling Mechanism Model and Machine Learning for Water Diversion Projects with a Lack of Data
Enthalten in Water resources management Bd. 39, 24.3.2025, Nr. 7, date:5.2025: 3015-3030
Online Ressource


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