5 citations · 5 across the 3 of their papers we have counts for
3 papers
Predicting Wall Thickness Changes in Cold Forging Processes: An Integrated FEM and Neural Network approach
Sasa Ilic, Abdulkerim Karaman, Johannes Pöppelbaum +3
This study presents a novel approach for predicting wall thickness changes in tubes during the nosing process. Specifically, we first provide a thorough analysis of nosing processe…
Neural Logic Rule Layers
Jan Niclas Reimann, Andreas Schwung
Despite their great success in recent years, deep neural networks (DNN) are mainly black boxes where the results obtained by running through the network are difficult to understand…
Generalized Dilation Neural Networks
Gavneet Singh Chadha, Jan Niclas Reimann, Andreas Schwung
Vanilla convolutional neural networks are known to provide superior performance not only in image recognition tasks but also in natural language processing and time series analysis…