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Ergebnis der Suche nach: "Machine Learning"
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	371	A machine-learning-based perspective on deep convective clouds and their organisation in 3D – Part 2: Spatial–temporal patterns of convective organisation Enthalten in Atmospheric chemistry and physics Bd. 25, 2025, Nr. 18: 10797-10822. 26 S.
	372	A machine-learning-based perspective on deep convective clouds and their organisation in 3D – Part 1: Influence of deep convective cores on the cloud life cycle Enthalten in Atmospheric chemistry and physics Bd. 25, 2025, Nr. 18: 10773-10795. 23 S.
	373	Dust pollution substantially weakens the impact of ammonia emission reduction on particulate nitrate formation Enthalten in Atmospheric chemistry and physics Bd. 25, 2025, Nr. 18: 10587-10601. 15 S.
	374	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.
	375	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.
	376	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.
	377	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.
	378	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.
	379	Machine learning for automated avalanche terrain exposure scale (ATES) classification Enthalten in Natural hazards and earth system sciences Bd. 25, 2025, Nr. 11: 4375-4403. 29 S.
	380	Hydrological drought prediction and its influencing features analysis based on a machine learning model Enthalten in Natural hazards and earth system sciences Bd. 25, 2025, Nr. 11: 4299-4316. 18 S.

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