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611 |
Prediction of Phase Composition and Process Resilience in Plasma‐Assisted Hetero‐Aggregate Synthesis using a Machine‐Learning Model with Multivariate Output
Lu, Yuanqing. - Jena : Friedrich-Schiller-Universität Jena, 2024
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612 |
Quality monitoring of projection welding using machine learning with small data sets
Koal, Johannes. - Dresden : Technische Universität Dresden, 2024
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613 |
Quantitative determination of dopamine in the presence of interfering substances supported by machine learning tools
Kallabis, Conrad. - Wildau : Technische Hochschule Wildau, 2024
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614 |
Radiomics-based machine learning model for diagnosis of acute pancreatitis using computed tomography
Bette, Stefanie. - Augsburg : Universität Augsburg, 2024
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615 |
Rapid prediction of the corrosion behaviour of coated biodegradable magnesium alloys using phase field simulation and machine learning
Ma, Songyun. - Aachen : Universitätsbibliothek der RWTH Aachen, 2024
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616 |
Real-life Data-driven Model Predictive Control for Building Energy Systems Comparing Different Machine Learning Models
Stoffel, Phillip. - Aachen : Universitätsbibliothek der RWTH Aachen, 2024
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617 |
Reduced-order adaptive synchronization in a chaotic neural network with parameter mismatch: a dynamical system versus machine learning approach
Kobiolka, Jan. - Erlangen : Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), 2024
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618 |
Report of RILEM TC 281-CCC: insights into factors affecting the carbonation rate of concrete with SCMs revealed from data mining and machine learning approaches
Vollpracht, Anya. - Berlin : Bundesanstalt für Materialforschung und -prüfung (BAM), 2024
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619 |
Sensor-based jump detection and classification with machine learning in trampoline gymnastics
Woltmann, Lucas. - Dresden : Technische Universität Dresden, 2024
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620 |
Spectral Analysis of Light-Adapted Electroretinograms in Neurodevelopmental Disorders: Classification with Machine Learning
Constable, Paul A.. - Erlangen : Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), 2024
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