ECT-LSTM-RNN: An Electrical Capacitance Tomography Model-Based Long Short-Term Memory Recurrent Neural Networks for Conductive Materials
Image reconstruction for industrial applications based on Electrical Capacitance Tomography (ECT) has been broadly applied. The goal of image reconstruction based ECT is to locate the distribution of permittivity for the dielectric substances along the cross-section based on the collected capacitanc...
| Glavni autori: | , , |
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| Format: | Članak |
| Jezik: | English |
| Izdano: |
IEEE
2021-01-01
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| Serija: | IEEE Access |
| Teme: | |
| Online pristup: | https://ieeexplore.ieee.org/document/9429218/ |