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Ergebnis der Suche nach: "Machine Learning"
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281 - 290 von 30784
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Artikel 281 Impact of topographic wind conditions on dust particle size distribution: insights from a regional dust reanalysis dataset
Enthalten in Atmospheric chemistry and physics Bd. 25, 2025, Nr. 17: 9583-9600. 18 S.
Online Ressource
Artikel 282 Explainable ensemble machine learning revealing spatiotemporal heterogeneity in driving factors of particulate nitro-aromatic compounds in eastern China
Enthalten in Atmospheric chemistry and physics Bd. 25, 2025, Nr. 15: 8407-8425. 19 S.
Online Ressource
Artikel 283 Tropospheric ozone trends and attributions over East and Southeast Asia in 1995–2019: an integrated assessment using statistical methods, machine learning models, and multiple chemical transport models
Enthalten in Atmospheric chemistry and physics Bd. 25, 2025, Nr. 14: 7991-8028. 38 S.
Online Ressource
Artikel 284 Machine-learning-assisted chemical characterization and optical properties of atmospheric brown carbon in Nanjing, China
Enthalten in Atmospheric chemistry and physics Bd. 25, 2025, Nr. 14: 7619-7645. 27 S.
Online Ressource
Artikel 285 Machine-learning-assisted inference of the particle charge fraction and the ion-induced nucleation rates during new particle formation events
Enthalten in Atmospheric chemistry and physics Bd. 25, 2025, Nr. 13: 7431-7446. 16 S.
Online Ressource
Artikel 286 Predictive understanding of socioeconomic flood impact in data-scarce regions based on channel properties and storm characteristics: application in High Mountain Asia (HMA)
Enthalten in Natural hazards and earth system sciences Bd. 25, 2025, Nr. 10: 3759-3778. 20 S.
Online Ressource
Artikel 287 Research on the extraction of pre-seismic anomalies in borehole strain data of the Maduo earthquake based on the SVMD-Informer model
Enthalten in Natural hazards and earth system sciences Bd. 25, 2025, Nr. 9: 3603-3618. 16 S.
Online Ressource
Artikel 288 Predicting Soil Salinity in the Red River Delta (Vietnam) Using Machine Learning and Assessing Farmers' Adaptive Capacity
Enthalten in Natural hazards and earth system sciences Bd. 25, 2025, Nr. 9: 3505-3524. 20 S.
Online Ressource
Artikel 289 Can model-based avalanche forecasts match the discriminatory skill of human danger-level forecasts? A comparison from Switzerland
Enthalten in Natural hazards and earth system sciences Bd. 25, 2025, Nr. 9: 3333-3353. 21 S.
Online Ressource
Artikel 290 Evaluating Yangtze River Delta Urban Agglomeration flood risk using a hybrid method of automated machine learning and analytic hierarchy process
Enthalten in Natural hazards and earth system sciences Bd. 25, 2025, Nr. 9: 3087-3108. 22 S.
Online Ressource


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