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

431 - 440 von 32637
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Artikel 431 Comparing high-resolution snow mapping approaches in palsa mires: UAS lidar vs. modelling
Enthalten in The Cryosphere Bd. 19, 2025, Nr. 9: 3949-3970. 22 S.
Online Ressource
Artikel 432 Correcting errors in seasonal Arctic sea ice prediction of Earth system models with machine learning
Enthalten in The Cryosphere Bd. 19, 2025, Nr. 8: 3279-3293. 15 S.
Online Ressource
Artikel 433 Leveraging snow probe data, lidar, and machine learning for snow depth estimation in complex-terrain environments
Enthalten in The Cryosphere Bd. 19, 2025, Nr. 8: 3123-3138. 16 S.
Online Ressource
Artikel 434 Machine Learning‐Driven Discovery of Essential Binding Preference in Anti‐CRISPR Proteins
Enthalten in Proteomics / Clinical applications Bd. 19, 2025, Nr. 6. 1 S.
Online Ressource
Artikel 435 Leveled homomorphic encryption schemes for homomorphic encryption standard
Enthalten in Journal of mathematical cryptology Bd. 19, 2025, Nr. 1. 46 S.
Online Ressource
Artikel 436 MET-AICE v1.0: an operational data-driven sea ice prediction system for the European Arctic
Enthalten in Geoscientific model development Bd. 18, 2025, Nr. 23: 9751-9766. 16 S.
Online Ressource
Artikel 437 Development and validation of satellite-derived surface NO<sub>2</sub> estimates using machine learning versus traditional approaches in North America
Enthalten in Atmospheric measurement techniques Bd. 18, 2025, Nr. 23: 7497-7511. 15 S.
Online Ressource
Artikel 438 Laser-Induced Fluorescence coupled with Machine Learning as an effective approach for real-time identification of bacteria in bioaerosols
Enthalten in Atmospheric measurement techniques Bd. 18, 2025, Nr. 23: 7297-7313. 17 S.
Online Ressource
Artikel 439 A novel machine learning retrieval for the detection of ice crystal icing conditions based on geostationary satellite imagery
Enthalten in Atmospheric measurement techniques Bd. 18, 2025, Nr. 23: 7129-7152. 24 S.
Online Ressource
Artikel 440 A feasibility study to reconstruct atmospheric rivers using space- and ground-based GNSS observations
Enthalten in Atmospheric measurement techniques Bd. 18, 2025, Nr. 22: 6659-6680. 22 S.
Online Ressource


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