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

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Artikel 221 Marine data assimilation in the UK: the past, the present, and the vision for the future
Enthalten in Ocean science Bd. 21, 2025, Nr. 4: 1709-1734. 26 S.
Online Ressource
Artikel 222 Drivers of the spatiotemporal distribution of dissolved nitrous oxide and air–sea exchange in a coastal Mediterranean area
Enthalten in Ocean science Bd. 21, 2025, Nr. 4: 1515-1532. 18 S.
Online Ressource
Artikel 223 Enhanced Positive Charge Performance in Triboelectric Series: Molecular Engineering of Conjugated Mesoporous Fibers for Machine Learning‐Based Wearable Sensors (Small 3/2025)
Enthalten in Small Bd. 21, 2025, Nr. 3. 1 S.
Online Ressource
Artikel 224 Analyzing key factors influencing IPL cricket scores using explainability and multimodal data
Enthalten in Journal of quantitative analysis in sports Bd. 21, 2025, Nr. 3: 253-267. 15 S.
Online Ressource
Artikel 225 Emerging trends in the optimization of organic synthesis through high-throughput tools and machine learning
Enthalten in Beilstein journal of organic chemistry Bd. 21, 2025: 10-38
Online Ressource
Artikel 226 Cover Feature: Machine Learning Assisted for Preparation of Graphene Supported Cu‐Zn Catalyst for CO 2 Hydrogenation to Methanol (Chem. Asian J. 13/2025)
Enthalten in Chemistry Bd. 20, 2025, Nr. 13. 1 S.
Online Ressource
Artikel 227 A comparative analysis of the binary and multiclass classified chest X-ray images of pneumonia and COVID-19 with ML and DL models
Enthalten in Open medicine Bd. 20, 2025, Nr. 1. 16 S.
Online Ressource
Artikel 228 Dynamic Plasmonic Full‐Color Generation via Machine Learning and Liquid Crystals (Laser Photonics Rev. 19 (14)/2025)
Enthalten in Laser & photonics reviews Bd. 19, 2025, Nr. 14. 1 S.
Online Ressource
Artikel 229 Emulating grid-based forest carbon dynamics using machine learning: an LPJ-GUESS v4.1.1 application
Enthalten in Geoscientific model development Bd. 18, 2025, Nr. 14: 4317-4333. 17 S.
Online Ressource
Artikel 230 Best estimate of the planetary boundary layer height from multiple remote sensing measurements
Enthalten in Atmospheric measurement techniques Bd. 18, 2025, Nr. 14: 3453-3475. 23 S.
Online Ressource


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