Katalog der Deutschen Nationalbibliothek

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Ergebnis der Suche nach: "Machine Learning"
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28251 - 28260 von 28354
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Artikel 28251 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 28252 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 28253 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 28254 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 28255 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 28256 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 28257 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
Artikel 28258 Wavelength-multiplexed hook nanoantennas for machine learning enabled mid-infrared spectroscopy
Enthalten in Nature Communications Bd. 13, 5.7.2022, Nr. 1, date:12.2022: 1-12
Online Ressource
Artikel 28259 Wavelet scattering and scalogram visualization based human brain decoding using empirical wavelet transform
Enthalten in International journal of information technology Bd. 15, 9.3.2023, Nr. 3, date:3.2023: 1699-1708
Online Ressource
Artikel 28260 Ways forward for Machine Learning to make useful global environmental datasets from legacy observations and measurements
Enthalten in Nature Communications Bd. 13, 7.9.2022, Nr. 1, date:12.2022: 1-3
Online Ressource


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