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Neuigkeiten Die Lesesäle für Geisteswissenschaften, Naturwissenschaften, der Alte Lesesaal Technik und der Anne-Frank-Shoah-Lesesaal in Leipzig schließen am 04.02.2026 wegen einer Veranstaltung bereits um 15 Uhr. Die weiteren Lesesäle sowie die Servicetheke sind zu den regulären Zeiten geöffnet. //
The humanities reading room, the natural science reading room, the old technology reading room and the reading room of the Anne-Frank-Shoah-Library will close at 15:00 on 4 February 2026 due to an event. The other reading rooms and the service desk will be open during regular hours.
 
 
 


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

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Artikel 11 EFLM checklist for the assessment of AI/ML studies in laboratory medicine: enhancing general medical AI frameworks for laboratory-specific applications
Enthalten in Clinical chemistry and laboratory medicine Bd. 64, 2026, Nr. 1: 27-40. 14 S.
Online Ressource
Artikel 12 The role of AI in pre-analytical phase – use cases
Enthalten in Clinical chemistry and laboratory medicine Bd. 64, 2026, Nr. 1: 4-21. 18 S.
Online Ressource
Artikel 13 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 14 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 15 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 16 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 17 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 18 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 19 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 20 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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