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Ergebnis der Suche nach: "Machine Learning"
im Bestand: Gesamter Bestand

26261 - 26270 von 29639
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Artikel 26261 Predicting smoking cessation, reduction and relapse six months after using the Stop-Tabac app for smartphones: a machine learning analysis
Enthalten in BMC public health Bd. 23, 5.6.2023, Nr. 1, date:12.2023: 1-12
Online Ressource
Artikel 26262 Predicting social anxiety in young adults with machine learning of resting-state brain functional radiomic features
Enthalten in Scientific reports Bd. 12, 17.8.2022, Nr. 1, date:12.2022: 1-10
Online Ressource
Artikel 26263 Predicting soil chemical characteristics in the arid region of central Iran using remote sensing and machine learning models
Enthalten in Scientific reports Bd. 15, 2.7.2025, Nr. 1, date:12.2025: 1-19
Online Ressource
Artikel 26264 Predicting soil compaction parameters in expansive soils using advanced machine learning models: a comparative study
Enthalten in Scientific reports Bd. 15, 5.7.2025, Nr. 1, date:12.2025: 1-21
Online Ressource
Artikel 26265 Predicting soil cone index and assessing suitability for wind and solar farm development in using machine learning techniques
Enthalten in Scientific reports Bd. 14, 5.2.2024, Nr. 1, date:12.2024: 1-15
Online Ressource
Artikel 26266 Predicting soil salinity in wastewater land application systems under field conditions with tree-based machine learning approaches
Enthalten in Irrigation science Bd. 43, 8.1.2025, Nr. 2, date:3.2025: 177-190
Online Ressource
Artikel 26267 Predicting Solar Cycle 26 Using the Polar Flux as a Precursor, Spectral Analysis, and Machine Learning: Crossing a Gleissberg Minimum?
Enthalten in Solar physics Bd. 299, 28.8.2024, Nr. 8, date:8.2024: 1-18
Online Ressource
Artikel 26268 Predicting special care during the COVID-19 pandemic: a machine learning approach
Enthalten in Health Information Science and Systems Bd. 9, 14.8.2021, Nr. 1, date:12.2021: 1-13
Online Ressource
Artikel 26269 Predicting species abundance using machine learning approach: a comparative assessment of random forest spatial variants and performance metrics
Enthalten in Modeling earth systems and environment Bd. 10, 12.6.2024, Nr. 4, date:8.2024: 5145-5171
Online Ressource
Artikel 26270 Predicting split tensile strength in Portland and geopolymer concretes using machine learning algorithms: a comparative study
Enthalten in Journal of building pathology and rehabilitation Bd. 9, 17.8.2024, Nr. 2, date:12.2024: 1-15
Online Ressource


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