Katalog der Deutschen Nationalbibliothek

Neuigkeiten Donnerstag, 11. September 2025: Die Deutsche Nationalbibliothek öffnet wegen eines Beschäftigtentreffens an beiden Standorten erst um 15 Uhr. // Thursday, 11 September 2025: The German National Library will not open until 15:00 due to a staff meeting at both locations.
 
 
 


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

501 - 510 von 29199
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Artikel 501 MeteoSaver v1.0: a machine-learning based software for the transcription of historical weather data
Enthalten in EGUsphere 10.06.2025: 1-52. 52 S.
Online Ressource
Artikel 502 Multi-Machine Learning Ensemble Regionalization of Hydrological Parameters for Enhances Flood Prediction in Ungauged Mountainous Catchments
Enthalten in EGUsphere 10.06.2025: 1-41. 41 S.
Online Ressource
Artikel 503 Tree-Based Machine Learning and Flow Simulation for Debris Flow Susceptibility, Runout Propagation, and Dynamics in the Higher Himalayas
Enthalten in Mathematical geosciences 10.6.2025: 1-39
Online Ressource
Artikel 504 Machine‐Learning‐Aided Advanced Electrochemical Biosensors
Enthalten in Advanced materials 09.06.2025. 32 S.
Online Ressource
Artikel 505 Synergistic Architectures in Fenton‐Like Catalysis: Bridging Single‐Atom and Nanoparticle/Cluster Dynamics for Enhanced Activity, Stability, and Selectivity
Enthalten in Advanced functional materials 09.06.2025. 19 S.
Online Ressource
Artikel 506 A Machine Learning Model to Predict Treatment Effect Associated with Targeted Temperature Management After Cardiac Arrest
Enthalten in Neurocritical care 9.6.2025: 1-9
Online Ressource
Artikel 507 Assessing urban landscape dynamics and its relations to changing surface thermal character and prospects: a geospatial study of a tropical industrial city using machine learning algorithms
Enthalten in Environmental science and pollution research 9.6.2025: 1-35
Online Ressource
Artikel 508 Letter to the editor concerning “A multimodal machine learning model integrating clinical and MRI data for predicting neurological outcomes following surgical treatment for cervical spinal cord injury” by T.Shimizu, et al. (Eur Spine J [2025]: doi: 10.1007/s00586-025-08873-2)
Enthalten in European spine journal 9.6.2025: 1-2
Online Ressource
Artikel 509 PoPR: a novel blockchain consensus mechanism for reliable crowdsourced data
Enthalten in International journal of information technology 9.6.2025: 1-13
Online Ressource
Artikel 510 Predicting Credit Default Risk Crisis of Government Implicit Debt: An Interpretable Machine Learning Approach
Enthalten in Computational economics 9.6.2025: 1-44
Online Ressource


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