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Ergebnis der Suche nach: "Machine Learning"
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Artikel 141 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 142 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 143 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 144 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 145 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 146 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 147 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 148 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 149 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
Artikel 150 Analyzing the compressive strength, eco-strength, and cost–strength ratio of agro-waste-derived concrete using advanced machine learning methods
Enthalten in Reviews on advanced materials science Bd. 64, 2025, Nr. 1. 18 S.
Online Ressource


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