The main goal of the research presented in this paper was to develop a refined machine
learning algorithm for industrial tomography applications. The article presents algorithms …

This paper presents the results of research on the use of machine learning algorithms and
electrical tomography in detecting humidity inside the walls of old buildings and structures …

This paper refers to an original concept of tomographic measurement of brick wall humidity
using an algorithm based on long short-term memory (LSTM) neural networks. The …

This paper presents an open architecture for a sensor platform for the processing, collection,
and image reconstruction from measurement data. This paper focuses on ultrasound …

针对电阻/超声双模态层析成像传感器配置优化问题, 提出管道同一截面内配置电极与超声探头,
实现对管道内同一被测对象同一时间的检测. 采用数值仿真方法, 考察电学敏感场与超声敏感场 …

Non-invasive techniques are widely applied in process plants compared to other sensing
techniques. Due to advantages such as preventing corrosion to the sensor and lengthening …

Electrical impedance tomography (EIT) imaging is capable for human lung imaging based
on its continuous self-monitoring capabilities, and suitability for daily routines. This paper …

Electrical impedance tomography (EIT) is an imaging technique for mapping the internal
conductivity distribution of an object by taking voltage measurements from electrodes …

The research aimed to develop a method that could automatically decompress and filter
images of transmission ultrasound tomography. The novelty of the presented method is an …

For the installing structure and optimization of electrodes and ultrasonic transducers in the
dual-modality electrical resistance tomography (ERT) and ultrasound transmission …