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Ergebnis der Suche nach: "Machine Learning"
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19301 - 19310 von 19613
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Artikel 19301 Urban change detection: assessing biophysical drivers using machine learning and Google Earth Engine
Enthalten in Environmental monitoring and assessment Bd. 197, 20.3.2025, Nr. 4, date:4.2025: 1-15
Online Ressource
Artikel 19302 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.
Online Ressource
Artikel 19303 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
Online Ressource
Artikel 19304 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
Online Ressource
Artikel 19305 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
Online Ressource
Artikel 19306 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
Online Ressource
Artikel 19307 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 19308 Use of artificial intelligence for public health surveillance: a case study to develop a machine Learning-algorithm to estimate the incidence of diabetes mellitus in France
Enthalten in Archives of public health Bd. 79, 22.9.2021, Nr. 1, date:12.2021: 1-13
Online Ressource
Artikel 19309 Use of machine learning algorithms to classify binary protein sequences as highly-designable or poorly-designable
Enthalten in BMC bioinformatics Bd. 9, 18.11.2008, Nr. 1, date:12.2008: 1-12
Online Ressource
Artikel 19310 Use of machine learning algorithms to construct models of symptom burden cluster risk in breast cancer patients undergoing chemotherapy
Enthalten in Supportive care in cancer Bd. 33, 13.2.2025, Nr. 3, date:3.2025: 1-10
Online Ressource


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