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Ergebnis der Suche nach:
"Machine Learning"
im Bestand: Gesamter Bestand
14001 - 14010 von 14051
Datum (neuestes zuerst)
Datum (ältestes zuerst)
Titel (A-Z)
Titel (Z-A)
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Name (Z-A)
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14001
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
14002
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
14003
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
14004
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
14005
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
14006
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
14007
Weighted gene coexpression network analysis and machine learning reveal oncogenome associated microbiome plays an important role in tumor immunity and prognosis in pan-cancer
Enthalten in Journal of translational medicine Bd. 21, 12.8.2023, Nr. 1, date:12.2023: 1-21
14008
Weighting non-IID batches for out-of-distribution detection
Enthalten in Machine learning Bd. 113, 19.8.2024, Nr. 10, date:10.2024: 7371-7391
14009
WGO: a similarly encoded whale-goshawk optimization algorithm for uncertain cloud manufacturing service composition
Enthalten in Autonomous intelligent systems Bd. 5, 5.3.2025, Nr. 1, date:12.2025: 1-13
14010
What can we learn about the psychiatric diagnostic categories by analysing patients' lived experiences with Machine-Learning?
Enthalten in BMC psychiatry Bd. 22, 24.6.2022, Nr. 1, date:12.2022: 1-17
14001 - 14010 von 14051
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