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Ergebnis der Suche nach: "Machine Learning"
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51 - 60 von 20143
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Artikel 51 Review article: Social media for managing disasters triggered by natural hazards: a critical review of data collection strategies and actionable insights
Enthalten in Natural hazards and earth system sciences Bd. 26, 2026, Nr. 1: 215-250. 36 S.
Online Ressource
Artikel 52 Deciphering the drivers of direct and indirect damages to companies from an unprecedented flood event: A data-driven, multivariate probabilistic approach
Enthalten in Natural hazards and earth system sciences Bd. 26, 2026, Nr. 1: 163-186. 24 S.
Online Ressource
Artikel 53 FLEMO<sub>flash</sub> – Flood Loss Estimation MOdels for companies and households affected by flash floods
Enthalten in Natural hazards and earth system sciences Bd. 26, 2026, Nr. 1: 103-118. 16 S.
Online Ressource
Artikel 54 Machine learning reveals strong grid-scale dependence in the satellite <italic>N</italic><sub>d</sub>–LWP relationship
Enthalten in Atmospheric chemistry and physics Bd. 26, 2026, Nr. 1: 59-76. 18 S.
Online Ressource
Artikel 55 Thermal analysis of Cattaneo-Christov heat/mass flux model effects on radiative Casson nanofluid flow past a bi-directional extending sheet subject to exponential heat source with machine learning approach
Enthalten in Open physics Bd. 24, 2026, Nr. 1. 23 S.
Online Ressource
Artikel 56 Upscaling of soil methane fluxes from topographic attributes derived from a digital elevation model in a cold temperate mountain forest
Enthalten in Biogeosciences Bd. 23, 2026, Nr. 2: 683-708. 26 S.
Online Ressource
Artikel 57 Machine learning-based Alpine treeline ecotone detection on Xue Mountain in Taiwan
Enthalten in Biogeosciences Bd. 23, 2026, Nr. 2: 623-638. 16 S.
Online Ressource
Artikel 58 High-resolution remote sensing and machine-learning-based upscaling of methane fluxes: a case study in the Western Canadian tundra
Enthalten in Biogeosciences Bd. 23, 2026, Nr. 1: 233-262. 30 S.
Online Ressource
Artikel 59 Bottom mixed layer derivation and spatial variability over the central and eastern abyssal Pacific Ocean
Enthalten in Ocean science Bd. 22, 2026, Nr. 1: 257-279. 23 S.
Online Ressource
Artikel 60 Using surface drifters to characterise near-surface ocean dynamics in the southern North Sea: a data-driven approach
Enthalten in Ocean science Bd. 22, 2026, Nr. 1: 49-74. 26 S.
Online Ressource


51 - 60 von 20143
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