Hydrogel pressure distribution sensors based on an imaging strategy and machine learning
A flexible hydrogel pressure distribution sensor has promising application prospects.
However, the current hydrogel pressure distribution sensors are based on an array-type …
However, the current hydrogel pressure distribution sensors are based on an array-type …
Deep autoencoder imaging method for electrical impedance tomography
Electrical impedance tomography (EIT) is an effective technique for real-time monitoring,
visualization, and analysis of industrial process in a noninvasive manner. However, due to …
visualization, and analysis of industrial process in a noninvasive manner. However, due to …
Image reconstruction in electrical capacitance tomography based on deep neural networks
W Deabes, KMJ Khayyat - IEEE Sensors Journal, 2021 - ieeexplore.ieee.org
Electrical Capacitance Tomography (ECT) image reconstruction has been largely applied
for industrial applications. However, there is still a crucial need to develop a new framework …
for industrial applications. However, there is still a crucial need to develop a new framework …
Image reconstruction using supervised learning in wearable electrical impedance tomography of the thorax
Electrical impedance tomography (EIT) is a non-invasive technique for visualizing the
internal structure of a human body. Capacitively coupled electrical impedance tomography …
internal structure of a human body. Capacitively coupled electrical impedance tomography …
Deep learning‐based tomographic imaging of ECT for characterizing particle distribution in circulating fluidized bed
The gas and solids in a circulating fluidized bed (CFB) are heterogeneously dispersed and a
multiscale flow regime may form both in time and space. Accurate measurement of the …
multiscale flow regime may form both in time and space. Accurate measurement of the …
Adversarial resolution enhancement for electrical capacitance tomography image reconstruction
W Deabes, AE Abdel-Hakim, KE Bouazza, H Althobaiti - Sensors, 2022 - mdpi.com
High-quality image reconstruction is essential for many electrical capacitance tomography
(CT) applications. Raw capacitance measurements are used in the literature to generate low …
(CT) applications. Raw capacitance measurements are used in the literature to generate low …
A hybrid deep learning model for ECT image reconstruction of cryogenic fluids
G Xinxin, T Zenan, Q Limin, Z Xiaobin - Flow Measurement and …, 2022 - Elsevier
Compared to general room-temperature fluids, the characteristics of cryogenic fluids, as well
as the complexity of the cryogenic environment, pose greater challenges for reconstruction …
as the complexity of the cryogenic environment, pose greater challenges for reconstruction …
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 …
contactless and radiation-free imaging method for both industrial and medical applications. It …
[HTML][HTML] Image reconstruction using machine-learned pseudoinverse in electrical capacitance tomography
Algorithms based on linear approximation are the primary methods for fast online image
reconstruction in electrical capacitance tomography (ECT). One-step reconstruction …
reconstruction in electrical capacitance tomography (ECT). One-step reconstruction …
ECT Attention Reverse Mapping algorithm: visualization of flow pattern heatmap based on convolutional neural network and its impact on ECT image reconstruction
The flow pattern is one of the most basic characteristic parameters of oil–gas two-phase
flow, and it has a great influence on the accurate measurement of other parameters of two …
flow, and it has a great influence on the accurate measurement of other parameters of two …