4 papers
Minimalist Regression Network with Reinforced Gradients and Weighted Estimates: a Case Study on Parameters Estimation in Automated Welding
Soheil Keshmiri
This paper presents a minimalist neural regression network as an aggregate of independent identical regression blocks that are trained simultaneously. Moreover, it introduces a new…
An Adaptive Sampling Approach to 3D Reconstruction of Weld Joint
Soheil Keshmiri, Syeda Mariam Ahmed, Yue Wu +2
We present an adaptive sampling approach to 3D reconstruction of the welding joint using the point cloud that is generated by a laser sensor. We start with a randomized strategy to…
Application of Deep Neural Network in Estimation of the Weld Bead Parameters
Soheil Keshmiri, Xin Zheng, Chee Meng Chew +1
We present a deep learning approach to estimation of the bead parameters in welding tasks. Our model is based on a four-hidden-layer neural network architecture. More specifically,…
Model-Free 3D Reconstruction of Weld Joint Using Laser Scanning
Soheil Keshmiri, Syeda Mariam Ahmed, Yue Wu +2
This article presents a novel utilization of the concept of entropy in information theory to model-free 3D reconstruction of weld joint in presence of noise. We show that our formu…