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Neuigkeiten 24. Dezember 2025 bis 1. Januar 2026: Die Deutsche Nationalbibliothek bleibt an beiden Standorten geschlossen. // 24 December 2025 to 1 January 2026: The German National Library will be closed at both locations.
 
 
 


Ergebnis der Suche nach: "Machine Learning"
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Artikel 201 Methodology for optimizing convolutional neural networks for fast production processes
Enthalten in Automatisierungstechnik Bd. 73, 2025, Nr. 9: 669-678. 10 S.
Online Ressource
Artikel 202 Enhancing FEA sheet metal forming simulations through 3D geometric data-driven surrogate modeling
Enthalten in Automatisierungstechnik Bd. 73, 2025, Nr. 4: 261-270. 10 S.
Online Ressource
Artikel 203 Challenges and requirements of AI-based waste water treatment systems
Enthalten in Automatisierungstechnik Bd. 73, 2025, Nr. 1: 40-49. 10 S.
Online Ressource
Artikel 204 Machine learning prediction of effective radiation doses in various computed tomography applications: a virtual human phantom study
Enthalten in Biomedical engineering Bd. 70, 2025, Nr. 4: 385-391. 07 S.
Online Ressource
Artikel 205 Classification of anemic condition based on photoplethysmography signals and clinical dataset
Enthalten in Biomedical engineering Bd. 70, 2025, Nr. 4: 359-370. 12 S.
Online Ressource
Artikel 206 Prediction of remaining surgery duration based on machine learning methods and laparoscopic annotation data
Enthalten in Biomedical engineering Bd. 70, 2025, Nr. 3: 229-239. 11 S.
Online Ressource
Artikel 207 Gesture recognition from surface electromyography signals based on the SE-DenseNet network
Enthalten in Biomedical engineering Bd. 70, 2025, Nr. 3: 207-216. 10 S.
Online Ressource
Artikel 208 A new neural network–assisted hybrid chaotic hiking optimization algorithm for optimal design of engineering components
Enthalten in Materials testing Bd. 67, 2025, Nr. 6: 1069-1078. 10 S.
Online Ressource
Artikel 209 A self-portrayal of GI Junior Fellow Franziska Boenisch: trustworthy machine learning for individuals
Enthalten in Information technology Bd. 67, 2025, Nr. 1: 8-12. 5 S.
Online Ressource
Artikel 210 Advanced explainable models for strength evaluation of self-compacting concrete modified with supplementary glass and marble powders
Enthalten in Reviews on advanced materials science Bd. 64, 2025, Nr. 1. 21 S.
Online Ressource


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