Mask-guided spatial–temporal graph neural network for multifrequency electrical impedance tomography

Z Chen, Z Liu, L Ai, S Zhang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Multifrequency electrical impedance tomography (mfEIT) is an emerging biomedical imaging
modality that exploits frequency-dependent electrical properties. The mfEIT image …

MMV-net: A multiple measurement vector network for multifrequency electrical impedance tomography

Z Chen, J Xiang, PO Bagnaninchi… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Multifrequency electrical impedance tomography (mfEIT) is an emerging biomedical imaging
modality to reveal frequency-dependent conductivity distributions in biomedical applications …

Conductivity prediction and image reconstruction of complex-valued multi-frequency electrical capacitance tomography based on deep neural network

L Zhu, Y Jiang, Y Li, W Lu… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Complex-valued multi-frequency electrical capacitance tomography (CVMF-ECT) is a
contactless and radiation-free imaging method for both industrial and medical applications. It …

Lift-off point of intersection for eliminating Lift-off noise in alternating current field measurement

J Zhao, W Li, X Yin, Q Chen… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Lift-off is a challenging issue in alternating current field measurement (ACFM) technique.
The spurious signals caused by lift-off variations are similar to the response signals of …

Linearization point and frequency selection for complex-valued electrical capacitance tomography

L Zhu, L Ma, Y Li, Y Yang… - IEEE transactions on …, 2021 - ieeexplore.ieee.org
Benefiting from the ability to image the permittivity distribution of dielectric materials,
electrical capacitance tomography (ECT) has been applied for multiphase flow metering for …

Multiphase flowrate measurement with multimodal sensors and temporal convolutional network

H Wang, D Hu, M Zhang, N Li, Y Yang - IEEE Sensors Journal, 2022 - ieeexplore.ieee.org
Accurate multiphase flow measurement is vital in monitoring and optimizing various
production processes. Deep learning has as of late arose as a promising approach for …

A new image reconstruction algorithm for CCERT based on improved DPC and K-means

Z Wang, Y Jiang, J Huang, B Wang, H Ji… - IEEE Sensors …, 2022 - ieeexplore.ieee.org
Based on density peaks clustering (DPC) and K-means, this work aims to propose a new
image reconstruction algorithm for capacitively coupled electrical resistance tomography …

Study on dual-frequency imaging of capacitively coupled electrical impedance tomography: Frequency optimization

Y Jiang, J Huang, H Ji, B Wang… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
In this work, a new dual-frequency imaging framework of capacitively coupled electrical
impedance tomography (CCEIT) is presented. Unlike conventional single-frequency …

Application of microwave transmission sensors for water cut metering under varying salinity conditions: Device, algorithm and uncertainty analysis

K Zuo, Y Hong, H Qi, Y Li, B Li - Sensors, 2022 - mdpi.com
The measurement of water cut in crude oil is an essential procedure in petroleum production
and it is desirable to obtain these data through an automatic and real-time method …

Imaging measurement technologies for CCS

Y Arellano, SH Stavland, EC Panduro… - 2022 IEEE 12th …, 2022 - ieeexplore.ieee.org
Carbon Capture and Storage (CCS) is seen as a key strategy on the path to net-zero
emission. Measurements of carbon dioxide-rich mixtures are vital for the forthcoming …