TSRFormer: Transformer based two-stage refinement for single image shadow removal

HE Chang, CH Hsieh, HH Yang… - Proceedings of the …, 2023 - openaccess.thecvf.com
Single-image shadow removal aims to remove undesired shadow information from captured
images. With the development of the deep convolutional neural networks, several methods …

[HTML][HTML] Regression Model for the Prediction of Total Motor Power Used by an Industrial Robot Manipulator during Operation

S Baressi Šegota, N Anđelić, J Štifanić, Z Car - Machines, 2024 - mdpi.com
Motor power models are a key tool in robotics for modeling and simulations related to control
and optimization. The authors collect the dataset of motor power using the ABB IRB 120 …

Fluid classification with dynamic graph convolution network by local linear embedding well logging data

Y Sun, S Pang, Y Zhang, J Zhang - Physics of Fluids, 2024 - pubs.aip.org
Fluid prediction is pivotal in exploration, aiding in the identification of targets and estimating
reserve potential. To enhance well logging data processing, we employ local linear …