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Ergebnis der Suche nach: "Machine Learning"
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16961 - 16970 von 17013

	16961	Walking stability in patients with benign paroxysmal positional vertigo: an objective assessment using wearable accelerometers and machine learning Enthalten in Journal of neuroEngineering and rehabilitation Bd. 18, 31.3.2021, Nr. 1, date:12.2021: 1-9
	16962	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
	16963	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
	16964	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
	16965	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
	16966	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
	16967	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
	16968	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
	16969	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
	16970	WEIBULL MULTIPLICATIVE MODEL AND MACHINE LEARNING MODELS FOR FULL-AUTOMATIC DARK-SPOT DETECTION FROM SAR IMAGES Enthalten in The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences Bd. XL-1/W3, 2013: 421-424

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