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Jan 10, 2024 · Transfer learning for aluminium extrusion electricity consumption anomaly detection via deep neural networks. Int. J. Comput. Integr. Manuf.,. 31(4-5):396 ...
Feb 5, 2024 · Roach, et al. Invertible neural networks for real-time control of extrusion additive manufacturing. Addit. Manuf., 74 (2023), Article 103742. Google Scholar.
Missing: consumption | Show results with:consumption
Mar 8, 2024 · A study focused on generalizing the 3D printing defects and correcting errors in material extrusion additive manufacturing (Figure 10). A multi-head neural ...
Missing: aluminium consumption
Mar 17, 2024 · Quality prediction modeling of plastic extrusion process. ICIC Express ... Learning convolutional neural networks for object detection with very little training ...
Missing: aluminium consumption
Jul 23, 2024 · [136] developed a novel closed-loop DL-integrated extrusion AM system to perform in-situ imaging and process parameter optimization on milled CF-reinforced ...
Missing: consumption | Show results with:consumption
Jan 16, 2024 · Road Surface Damage Detection Using Fully Convolutional Neural Networks and Semi-Supervised Learning. ... extrusion additive. manufacturing. Addit. Manuf. 2022,56 ...
Missing: aluminium consumption
Oct 1, 2023 · Anomaly based network intrusion detection for IoT attacks using deep learning ... Artificial intelligence in single screw polymer extrusion, Engineering ...
Missing: aluminium | Show results with:aluminium
Sep 18, 2023 · Prediction of surface roughness in extrusion-based additive manufacturing with machine learning. ... deep learning neural networks for surface roughness ...
Missing: consumption | Show results with:consumption
Jan 22, 2024 · ... Detection Using Fully Convolutional Neural Networks and Semi-Supervised Learning. ... extrusion additive manufacturing. Addit. Manuf. 2022, 56, 102838. [CrossRef].
Missing: aluminium consumption
Feb 8, 2024 · BMWK Project BiGOFil: Extrusion Simulation of Bicomponent Synthetic Fibers ... Innovative Machine Learning (ML) methods with Deep Neural Networks (DNN) are used ...
Missing: aluminium via