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Ergebnis der Suche nach: "Machine Learning"
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26711 - 26720 von 28963
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Artikel 26711 Remote monitoring of Tai Chi balance training interventions in older adults using wearable sensors and machine learning
Enthalten in Scientific reports Bd. 15, 26.3.2025, Nr. 1, date:12.2025: 1-12
Online Ressource
Artikel 26712 Remote sensing and machine learning algorithms to predict soil salinity in southern Kazakhstan
Enthalten in Discover sustainability Bd. 5, 28.10.2024, Nr. 1, date:12.2024: 1-14
Online Ressource
Artikel 26713 Remote sensing and machine learning applications for aboveground biomass estimation in agroforestry systems: a review
Enthalten in Agroforestry systems Bd. 97, 10.5.2023, Nr. 6, date:8.2023: 1097-1111
Online Ressource
Artikel 26714 Remote sensing based forest cover classification using machine learning
Enthalten in Scientific reports Bd. 14, 2.1.2024, Nr. 1, date:12.2024: 1-17
Online Ressource
Artikel 26715 Remote sensing drought factor integration based on machine learning can improve the estimation of drought in arid and semi-arid regions
Enthalten in Theoretical and applied climatology Bd. 151, 6.1.2023, Nr. 3-4, date:2.2023: 1753-1770
Online Ressource
Artikel 26716 Remote sensing estimation of aboveground biomass of different forest types in Xinjiang based on machine learning
Enthalten in Scientific reports Bd. 15, 20.2.2025, Nr. 1, date:12.2025: 1-15
Online Ressource
Artikel 26717 Remote sensing for land cover mapping across Victoria, Australia – a machine learning application
Enthalten in Scientific data Bd. 12, 3.4.2025, Nr. 1, date:12.2025: 1-12
Online Ressource
Artikel 26718 Remote sensing with machine learning for multi-decadal surface water monitoring in Ethiopia
Enthalten in Scientific reports Bd. 15, 11.4.2025, Nr. 1, date:12.2025: 1-15
Online Ressource
Artikel 26719 Renal calculus composition assessment from radiographic images using machine learning technique
Enthalten in Research on biomedical engineering Bd. 41, 20.3.2025, Nr. 2, date:6.2025: 1-12
Online Ressource
Artikel 26720 Renewable energy, forest cover, export diversification, and ecological footprint: a machine learning application in moderating eco-innovations on agriculture in the BRICS-T economies
Enthalten in Environmental science and pollution research Bd. 30, 23.6.2023, Nr. 35, date:7.2023: 83771-83791
Online Ressource


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