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Ergebnis der Suche nach: "Machine Learning"
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Artikel 29451 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 29452 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 29453 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 29454 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 29455 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 29456 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 29457 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 29458 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
Artikel 29459 Water-saving control system based on multiple intelligent algorithms
Enthalten in Autonomous intelligent systems Bd. 4, 4.7.2024, Nr. 1, date:12.2024: 1-9
Online Ressource
Artikel 29460 Watershed prioritization and decision-making based on weighted sum analysis, feature ranking, and machine learning techniques
Enthalten in Arabian journal of geosciences Bd. 16, 6.1.2023, Nr. 1, date:1.2023: 1-20
Online Ressource


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