Implications from Legacy Device Environments on the Conceptional Design of Machine Learning Models in Manufacturing B Engelmann, AM Schmitt, L Theilacker, J Schmitt Journal of Manufacturing and Materials Processing 8 (1), 15, 2024 | 4 | 2024 |
Assessing the influence of sensor-induced noise on machine-learning-based changeover detection in CNC machines VG Biju, AM Schmitt, B Engelmann Sensors 24 (2), 330, 2024 | 4 | 2024 |
Powder bed monitoring using semantic image segmentation to detect failures during 3D metal printing AM Schmitt, C Sauer, D Höfflin, A Schiffler Sensors 23 (9), 4183, 2023 | 3 | 2023 |
Evaluation of the Influence of Machine Tools on the Accuracy of Indoor Positioning Systems T Neuber, AM Schmitt, B Engelmann, J Schmitt Sensors 22 (24), 10015, 2022 | 3 | 2022 |
A Series Production Data Set for Five-Axis CNC Milling AM Schmitt, B Engelmann Data 9 (5), 66, 2024 | 1 | 2024 |
Detecting Changeover Events on Manufacturing Machines with Machine Learning and NC data B Engelmann, AM Schmitt, M Heusinger, V Borysenko, N Niedner, ... Applied Artificial Intelligence 38 (1), 2381317, 2024 | | 2024 |
G-code evaluation in CNC milling to predict energy consumption through Machine Learning AM Schmitt, E Miller, B Engelmann, R Batres, J Schmitt Advances in Industrial and Manufacturing Engineering 8, 100140, 2024 | | 2024 |
Series Production Data Set for 5-Axis CNC Milling AM Schmitt, B Engelmann Preprints, 2024 | | 2024 |
Assessing the Influence of Sensor-Induced Noise on Machine-Learning-Based Changeover Detection in CNC Machines V George Biju, AM Schmitt, B Engelmann Sensors 2024, 2024 | | 2024 |
Advances in Industrial and Manufacturing Engineering AM Schmitt, E Miller, B Engelmann, R Batres, J Schmitt | | |