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1601 |
Evaluation of process stability in precise electrochemical machining using machine learning models based on extracted features
Tchoupe Sambou, Elio. - Aachen : Universitätsbibliothek der RWTH Aachen, 2024
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1602 |
Explainable machine learning-based fatigue assessment of 316L stainless steel fabricated by laser-powder bed fusion
Wang, Xiru. - Hamburg : Technische Universität Hamburg. Universitätsbibliothek, 2024
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1603 |
Explainable machine learning determines effects on the sound absorption coefficient measured in the impedance tube
Stender, Merten. - Darmstadt : Universitäts- und Landesbibliothek, 2024
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1604 |
Explainable Machine Learning in Critical Decision Systems : Ensuring Safe Application and Correctness
Wiggerthale, Julius. - Furtwangen : Hochschule Furtwangen, 2024
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1605 |
Explaining neural networks without access to training data
Marton, Sascha. - Mannheim : Universitätsbibliothek Mannheim, 2024
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1606 |
Exploring machine learning diagnostic decisions based on wideband immittance measurements for otosclerosis and disarticulation
Winkler, Simon. - Reutlingen : Hochschule Reutlingen, 2024
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1607 |
Fast approximation of fiber reinforced injection molding processes using eikonal equations and machine learning
Greif, Julian. - Augsburg : Universität Augsburg, 2024
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1608 |
Feasibility study on machine learning methods for prediction of process‑related parameters during WAAM process using SS‑316L filler material
Subadra, Sharath P.. - Hamburg : Hochschule für Angewandte Wissenschaften Hamburg, 2024
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1609 |
Forecasting Bitcoin returns: Econometric time series analysis vs. machine learning
Berger, Theo. - Hannover : Hochschule Hannover, 2024
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1610 |
From abstraction to design: Interpretable tree-based machine learning for stable thermoacoustic system layout
Kuznetsova, Maria. - Berlin : Technische Universität Berlin, 2024
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