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Minimalist Regression Network with Reinforced Gradients and Weighted Estimates: a Case Study on Parameters Estimation in Automated Welding
We choose the estimation of the direct weld parameters of different welding techniques to show a significant improvement in calculation of these parameters by our model in contrast to state-of-the-arts techniques in the literature.
Application of Deep Neural Network in Estimation of the Weld Bead Parameters
We present a deep learning approach to estimation of the bead parameters in welding tasks.
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