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Ergebnis der Suche nach: "Machine Learning"
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201 - 210 von 28841
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Artikel 201 Front Cover: Study on Phosphorus Compound/Catechol‐Catalyzed Dehydrative Amidation and Its Database Development for Machine Learning
Enthalten in Chemistry - a European journal Bd. 31, 2025, Nr. 43. 1 S.
Online Ressource
Artikel 202 Changes in Inhibition-Related Brain Function and Psychological Flexibility during Smoking Abstinence: A Machine-Learning Prediction of Time to Relapse
Enthalten in European addiction research Bd. 31, 2025, Nr. 2: 99-112. 14 S.
Online Ressource
Artikel 203 Effectiveness of Machine Learning-Based Adjustments to an eHealth Intervention Targeting Mild Alcohol Use
Enthalten in European addiction research Bd. 31, 2025, Nr. 1: 47-59. 13 S.
Online Ressource
Artikel 204 The Efficacy of a Food Supplement in the Treatment of Tinnitus with Comorbid Headache: A Statistical and Machine Learning Analysis with a Literature Review
Enthalten in Audiology & neurotology Bd. 30, 2025, Nr. 2: 164-175. 12 S.
Online Ressource
Artikel 205 Infilling of missing rainfall radar data with a memory-assisted deep learning approach
Enthalten in Hydrology and earth system sciences Bd. 29, 2025, Nr. 15: 3687-3701. 15 S.
Online Ressource
Artikel 206 Towards a global spatial machine learning model for seasonal groundwater level predictions in Germany
Enthalten in Hydrology and earth system sciences Bd. 29, 2025, Nr. 15: 3405-3433. 29 S.
Online Ressource
Artikel 207 The value of hydroclimatic teleconnections for snow-based seasonal streamflow forecasting in central Asia
Enthalten in Hydrology and earth system sciences Bd. 29, 2025, Nr. 14: 3055-3071. 17 S.
Online Ressource
Artikel 208 Groundwater head responses to droughts across Germany
Enthalten in Hydrology and earth system sciences Bd. 29, 2025, Nr. 13: 2925-2950. 26 S.
Online Ressource
Artikel 209 Patient-specific gingival recession system based on periodontal disease prediction
Enthalten in International journal of computerized dentistry Bd. 28, 2025, Nr. 1: 35-45
Online Ressource
Artikel 210 Explainable ensemble machine learning revealing spatiotemporal heterogeneity in driving factors of particulate nitro-aromatic compounds in eastern China
Enthalten in Atmospheric chemistry and physics Bd. 25, 2025, Nr. 15: 8407-8425. 19 S.
Online Ressource


201 - 210 von 28841
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