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Ergebnis der Suche nach: "Machine Learning"
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Artikel 14361 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 14362 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 14363 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 14364 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 14365 Wavelet $$s$$ -Wasserstein distances for $$0 < s\leqslant\,1$$
Enthalten in Sampling theory, signal processing, and data analysis Bd. 23, 6.8.2025, Nr. 2, date:12.2025: 1-48 		Online Ressource
Artikel 14366 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
Artikel 14367 Wearable bracelet and machine learning for remote diagnosis and pandemic infection detection
Enthalten in Discover applied sciences Bd. 6, 19.8.2024, Nr. 9, date:9.2024: 1-19 		Online Ressource
Artikel 14368 Wearable sensor and machine learning estimate tendon load and walking speed during immobilizing boot ambulation
Enthalten in Scientific reports Bd. 13, 23.10.2023, Nr. 1, date:12.2023: 1-11 		Online Ressource
Artikel 14369 WEASEL 2.0: a random dilated dictionary transform for fast, accurate and memory constrained time series classification
Enthalten in Machine learning Bd. 112, 19.9.2023, Nr. 12, date:12.2023: 4763-4788 		Online Ressource
Artikel 14370 Web application using machine learning to predict cardiovascular disease and hypertension in mine workers
Enthalten in Scientific reports Bd. 14, 30.12.2024, Nr. 1, date:12.2024: 1-14 		Online Ressource


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