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Ergebnis der Suche nach: "Machine Learning"
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Artikel 241 Best estimate of the planetary boundary layer height from multiple remote sensing measurements
Enthalten in Atmospheric measurement techniques Bd. 18, 2025, Nr. 14: 3453-3475. 23 S.
Online Ressource
Artikel 242 ELM2.1-XGBfire1.0: improving wildfire prediction by integrating a machine learning fire model in a land surface model
Enthalten in Geoscientific model development Bd. 18, 2025, Nr. 13: 4103-4117. 15 S.
Online Ressource
Artikel 243 Exploring the effect of training set size and number of categories on ice crystal classification through a contrastive semi-supervised learning algorithm
Enthalten in Atmospheric measurement techniques Bd. 18, 2025, Nr. 12: 2781-2801. 21 S.
Online Ressource
Artikel 244 The 2024 Noto Peninsula earthquake building damage dataset: multi-source visual assessment
Enthalten in Earth system science data Bd. 17, 2025, Nr. 10: 5259-5276. 18 S.
Online Ressource
Artikel 245 A 1&thinsp;km soil moisture dataset over eastern CONUS generated by assimilating SMAP data into the Noah-MP land surface model
Enthalten in Earth system science data Bd. 17, 2025, Nr. 9: 4587-4611. 25 S.
Online Ressource
Artikel 246 An upgraded high-precision gridded precipitation dataset for the Chinese mainland considering spatial autocorrelation and covariates
Enthalten in Earth system science data Bd. 17, 2025, Nr. 8: 3987-4004. 18 S.
Online Ressource
Artikel 247 A derecho climatology (2004–2021) in the United States based on machine learning identification of bow echoes
Enthalten in Earth system science data Bd. 17, 2025, Nr. 8: 3721-3740. 20 S.
Online Ressource
Artikel 248 An advanced approach integrating methods to estimate hydraulic conductivity of different soil types supported by a machine learning model
Enthalten in Open Geosciences Bd. 17, 2025, Nr. 1. 15 S.
Online Ressource
Artikel 249 Applications of local climate zone classification in European cities: A review of in situ and mobile monitoring methods in urban climate studies
Enthalten in Open Geosciences Bd. 17, 2025, Nr. 1. 21 S.
Online Ressource
Artikel 250 Applications of physics-informed neural networks in geosciences: From basic seismology to comprehensive environmental studies
Enthalten in Open Geosciences Bd. 17, 2025, Nr. 1. 21 S.
Online Ressource


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