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Service hours in Frankfurt am Main from 1 December 2025: Monday to Friday 9:00-18:00 and Saturday 10:00-16:00
 
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Ergebnis der Suche nach: "Machine Learning"
im Bestand: Gesamter Bestand

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Online Ressourcen 1 Surgical workflow analysis for Surgomics and context-aware assistance in robot-assisted minimally invasive esophagectomy (RAMIE): a retrospective, single-arm, multicenter annotation and machine learning study
Brandenburg, Johanna. - Reutlingen : Hochschule Reutlingen, 2026
Online Ressource
Artikel 2 Machine learning predictions for regioselectivity of hydroformylation reactions: leveraging limited data for high-precision results
Enthalten in Pure and applied chemistry Bd. 98, 2026, Nr. 1: 61-74. 14 S.
Online Ressource
Artikel 3 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 4 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 5 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 6 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 7 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 8 Green Drug Discovery: Leveraging Biodiversity for Sustainable Pharmaceutical Solutions
Enthalten in Chemistry & biodiversity Bd. 23, 2026, Nr. 1. 23 S.
Online Ressource
Artikel 9 From Composition to Ionic Conductivity: Machine Learning‐Guided Discovery and Experimental Validation of Argyrodite‐Type Lithium‐Ion Electrolytes (Small 2/2026)
Enthalten in Small Bd. 22, 2026, Nr. 2. 1 S.
Online Ressource
Artikel 10 GEMS-GER: a machine learning benchmark dataset of long-term groundwater levels in Germany with meteorological forcings and site-specific environmental features
Enthalten in Earth system science data Bd. 18, 2026, Nr. 1: 77-95. 19 S.
Online Ressource


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