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Ergebnis der Suche nach: "Machine Learning"
im Bestand: Gesamter Bestand

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Artikel 251 Machine Learning based modulation format classification framework for inter-satellite optical wireless communication system (IsOWCS)
Enthalten in Journal of optical communications Bd. 47, 2026, Nr. 1: 209-221. 13 S.
Online Ressource
Artikel 252 UK Biobank-centric advances in brain age prediction: a comprehensive review
Enthalten in Reviews in the neurosciences Bd. 37, 2026, Nr. 1: 19-42. 024 S.
Online Ressource
Artikel 253 Automated detection and classification of road infrastructure for intelligent urban planning
Enthalten in Journal of intelligent systems Bd. 35, 2026, Nr. 1. 14 S.
Online Ressource
Artikel 254 High resolution monthly precipitation isotope estimates across Australia from machine learning
Enthalten in Hydrology and earth system sciences Bd. 30, 2026, Nr. 2: 289-315. 27 S.
Online Ressource
Artikel 255 Tracking surface ozone responses to clean air actions under a warming climate in China using machine learning
Enthalten in Atmospheric chemistry and physics Bd. 26, 2026, Nr. 2: 851-867. 17 S.
Online Ressource
Artikel 256 Simulating out-of-sample atmospheric transport to enable flux inversions
Enthalten in Atmospheric chemistry and physics Bd. 26, 2026, Nr. 1: 427-441. 15 S.
Online Ressource
Artikel 257 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 258 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 259 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 260 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


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