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Ergebnis der Suche nach: "Machine Learning"
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41571 - 41580 von 42091
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Artikel 41571 Urban lakes change extraction using time series GaoFen-1 satellite imagery
Enthalten in The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences Bd. XLVIII-1-2024, 2024: 463-468. 6 S.
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Artikel 41572 Urban ozone variability using automated machine learning: inference from different feature importance schemes
Enthalten in Environmental monitoring and assessment Bd. 196, 23.3.2024, Nr. 4, date:4.2024: 1-15
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Artikel 41573 Urban sentinel: advancing structural health monitoring for building damage measurement in districts through IoT integration and self-optimizing machine learning
Enthalten in Journal of electrical systems and information technology Bd. 12, 30.7.2025, Nr. 1, date:12.2025: 1-20
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Artikel 41574 Urea-mediated growth engineering of AuAg core–shell nanostructures: an enzymatic detection strategy with machine learning-assisted comparative analysis
Enthalten in Microchimica acta Bd. 192, 29.7.2025, Nr. 8, date:8.2025: 1-14
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Artikel 41575 UroPredict: Machine learning model on real-world data for prediction of kidney cancer recurrence (UroCCR-120)
Enthalten in npj precision oncology Bd. 8, 23.2.2024, Nr. 1, date:12.2024: 1-10
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Artikel 41576 Usage of machine learning methods for forecasting the strength of environmentally friendly geopolymer concrete
Enthalten in Journal of ambient intelligence and humanized computing Bd. 16, 22.3.2025, Nr. 4-5, date:5.2025: 505-522
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Artikel 41577 Use machine learning to help identify possible sarcopenia cases in maintenance hemodialysis patients
Enthalten in BMC nephrology Bd. 24, 14.2.2023, Nr. 1, date:12.2023: 1-17
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Artikel 41578 Use machine learning to predict pulmonary metastasis of esophageal cancer: a population-based study
Enthalten in Journal of cancer research and clinical oncology Bd. 150, 16.9.2024, Nr. 9, date:9.2024: 1-10
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Artikel 41579 Use machine learning to predict treatment outcome of early childhood caries
Enthalten in BMC oral health Bd. 25, 15.3.2025, Nr. 1, date:12.2025: 1-9
Online Ressource
Artikel 41580 Use of a supervised machine learning model to predict Oncotype DX risk category in node-positive patients older than 50 years of age
Enthalten in Breast cancer research and treatment Bd. 196, 21.10.2022, Nr. 3, date:12.2022: 565-570
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