This paper refers to the method of using the deep neural long-short-term memory (LSTM)
network for the problem of electrocardiogram (ECG) signal classification. ECG signals …

In the maintenance of rotating machinery, the vibration signal is the basis of condition
monitoring systems. Dedicated signal analysis methods are applied depending on the …

The theranostics paradigm is based on the concept of combining therapeutic and diagnostic
modalities into one platform to improve the effectiveness of treatment. Combinations of …

Electrical tomography is a non-invasive method of monitoring the interior of objects, which is
used in various industries. In particular, it is possible to monitor industrial processes inside …

The paper presents the results of research on the hybrid industrial tomograph electrical
impedance tomography (EIT) and ultrasonic tomography (UST)(EIT-UST), operating on the …

The article deals with the problem of detecting moisture in the walls of historical buildings.
As part of the presented research, the following four methods based on mathematical …

At the end of the 20th century, manufacturing companies entered a new era, which, on the
one hand, offered tremendous technical and IT solutions, but, on the other, brought them into …

Criticality is considered as a fundamental category of production planning, maintenance
process planning and management. The criticality assessment of machines and devices can …

Worm gearboxes (WG) are often preferred, because of their high torque, quickly reducing
speed capacity and good meshing effectiveness, in many industrial applications. However …

This paper describes the method developed using the Extreme Gradient Boosting (Xgboost)
algorithm that allows high-resolution imaging using the ultrasound tomography (UST) signal …