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Implications from Legacy Device Environments on the Conceptional Design of Machine Learning Models in Manufacturing.
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- Journal of Manufacturing & Materials Processing, 2024, v. 8, n. 1, p. 15, doi. 10.3390/jmmp8010015
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A Series Production Data Set for Five-Axis CNC Milling.
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- Data (2306-5729), 2024, v. 9, n. 5, p. 66, doi. 10.3390/data9050066
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- Article
In Vivo Investigation of 3D-Printed Calcium Magnesium Phosphate Wedges in Partial Load Defects.
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- Materials (1996-1944), 2024, v. 17, n. 9, p. 2136, doi. 10.3390/ma17092136
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- Article
Assessing the Influence of Sensor-Induced Noise on Machine-Learning-Based Changeover Detection in CNC Machines.
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- Sensors (14248220), 2024, v. 24, n. 2, p. 330, doi. 10.3390/s24020330
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- Article
Powder Bed Monitoring Using Semantic Image Segmentation to Detect Failures during 3D Metal Printing.
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- Sensors (14248220), 2023, v. 23, n. 9, p. 4183, doi. 10.3390/s23094183
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- Article
Evaluation of the Influence of Machine Tools on the Accuracy of Indoor Positioning Systems.
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- Sensors (14248220), 2022, v. 22, n. 24, p. 10015, doi. 10.3390/s222410015
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- Article