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271 |
Groundwater head responses to droughts across Germany
Enthalten in Hydrology and earth system sciences Bd. 29, 2025, Nr. 13: 2925-2950. 26 S.
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272 |
Patient-specific gingival recession system based on periodontal disease prediction
Enthalten in International journal of computerized dentistry Bd. 28, 2025, Nr. 1: 35-45
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273 |
Front Cover: Accelerating the Structure Exploration of Diverse Bi–Pt Nanoclusters via Physics‐Informed Machine Learning Potential and Particle Swarm Optimization (ChemPhysChem 19/2025)
Enthalten in ChemPhysChem Bd. 26, 2025, Nr. 19. 1 S.
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274 |
Global ionospheric sporadic <italic>E</italic> intensity prediction from GNSS RO using a novel stacking machine learning method incorporated with physical observations
Enthalten in Atmospheric chemistry and physics Bd. 25, 2025, Nr. 18: 11517-11534. 18 S.
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275 |
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.
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276 |
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.
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277 |
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.
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278 |
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.
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279 |
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.
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280 |
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.
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