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Ergebnis der Suche nach: "Machine Learning"
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Artikel 321 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 322 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 323 Leveled homomorphic encryption schemes for homomorphic encryption standard
Enthalten in Journal of mathematical cryptology Bd. 19, 2025, Nr. 1. 46 S.
Online Ressource
Artikel 324 A dynamic informed deep-learning method for future estimation of laboratory stick–slip
Enthalten in Geoscientific model development Bd. 18, 2025, Nr. 18: 6275-6293. 19 S.
Online Ressource
Artikel 325 Machine learning data fusion for high spatio-temporal resolution PM<sub>2.5</sub>
Enthalten in Atmospheric measurement techniques Bd. 18, 2025, Nr. 18: 4771-4789. 19 S.
Online Ressource
Artikel 326 Comparison of the performance between three Doppler wind lidars and a novel wind speed correction algorithm
Enthalten in Atmospheric measurement techniques Bd. 18, 2025, Nr. 18: 4755-4769. 15 S.
Online Ressource
Artikel 327 A Python library for solving ice sheet modeling problems using physics-informed neural networks, PINNICLE v1.0
Enthalten in Geoscientific model development Bd. 18, 2025, Nr. 16: 5311-5327. 17 S.
Online Ressource
Artikel 328 Calibration and performance evaluation of PM<sub>2.5</sub> and NO<sub>2</sub> air quality sensors for environmental epidemiology
Enthalten in Atmospheric measurement techniques Bd. 18, 2025, Nr. 16: 4061-4085. 25 S.
Online Ressource
Artikel 329 Hourly surface nitrogen dioxide retrieval from GEMS tropospheric vertical column densities: benefit of using time-contiguous input features for machine learning models
Enthalten in Atmospheric measurement techniques Bd. 18, 2025, Nr. 15: 3747-3779. 33 S.
Online Ressource
Artikel 330 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


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