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Ergebnis der Suche nach: "Machine Learning"
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191 - 200 von 30768
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Artikel 191 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 192 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 193 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 194 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 195 Design optimization of a multi-layer aircraft canopy transparency plate against bird strike
Enthalten in Materials testing Bd. 67, 2025, Nr. 9: 1507-1519. 13 S.
Online Ressource
Artikel 196 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 197 Mechanical behavior of composite pipe structures under compressive force and its prediction using different machine learning algorithms
Enthalten in Materials testing Bd. 67, 2025, Nr. 1: 160-182. 23 S.
Online Ressource
Artikel 198 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 199 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 200 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


191 - 200 von 30768
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