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

441 - 450 von 32606
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Artikel 441 Five years of GOSAT-2 retrievals with RemoTeC: XCO<sub>2</sub> and XCH<sub>4</sub> data products with quality filtering by machine learning
Enthalten in Atmospheric measurement techniques Bd. 18, 2025, Nr. 21: 6093-6123. 31 S.
Online Ressource
Artikel 442 Machine learning-based downscaling of aerosol size distributions from a global climate model
Enthalten in Atmospheric measurement techniques Bd. 18, 2025, Nr. 20: 5763-5782. 20 S.
Online Ressource
Artikel 443 The novel GOME-type Ozone Profile Essential Climate Variable (GOP-ECV) data record covering the past 26 years
Enthalten in Atmospheric measurement techniques Bd. 18, 2025, Nr. 20: 5485-5505. 21 S.
Online Ressource
Artikel 444 Classifying thermodynamic cloud phase using machine learning models
Enthalten in Atmospheric measurement techniques Bd. 18, 2025, Nr. 20: 5393-5414. 22 S.
Online Ressource
Artikel 445 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 446 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 447 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 448 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 449 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 450 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


441 - 450 von 32606
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