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Ergebnis der Suche nach: "Machine Learning"
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38601 - 38610 von 38719
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Artikel 38601 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 38602 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 38603 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 38604 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 38605 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
Online Ressource
Artikel 38606 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 38607 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
Online Ressource
Artikel 38608 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 38609 Water quality index modelling and its application on artificial intelligence (AI) in conjunction with machine learning (ML) methodologies for mapping surface water potential zones for drinking activities
Enthalten in Discover civil engineering Bd. 2, 1.8.2025, Nr. 1, date:12.2025: 1-53
Online Ressource
Artikel 38610 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


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