Energy Reduction with Super-Resolution Convolutional Neural Network for Ultrasound Tomography

Energy Reduction with Super-Resolution Convolutional Neural Network for Ultrasound Tomography

This study addresses the issue of energy optimization by investigating solutions for the reduction of energy consumption in the diagnostics and monitoring of technological processes. The implementation of advanced process control is identified as a key approach for achieving energy savings and impro...

Full description

Bibliographic Details
Main Authors: Dariusz Wójcik, Tomasz Rymarczyk, Bartosz Przysucha, Michał Gołąbek, Dariusz Majerek, Tomasz Warowny, Manuchehr Soleimani
Format: Article
Language:English
Published: MDPI AG 2023-01-01
Series:Energies
Subjects:
deep learning
machine learning
inverse problems
tomography
Industry 4.0
energy consumption
Online Access:https://www.mdpi.com/1996-1073/16/3/1387

Internet

https://www.mdpi.com/1996-1073/16/3/1387

Similar Items