Generative adversarial networks (GANs) have recently been successfully used to create
realistic synthetic microscopy cell images in 2D and predict intermediate cell stages. In the …

Transmembrane signalling plays important physiological roles, with G protein-coupled cell
surface receptors being particularly important therapeutic targets. Fluorescent proteins are …

The paper carried a brief overview of artificial intelligence algorithms applicable to nondestructive
testing. It focuses on three methods: artificial neural networks, fuzzy logic and rough …

The paper presents and shortly discusses the AI algorithms created for automated detection
and classification of weld defects on the basis of radiography images. The three approaches …

Because of high strength to weight ratio, stiffness and corrosion resistance, fiber reinforced
composite materials are intensively used in industrial applications. Although there are many …

In order to define and verify the solution of the inverse problem, the forward problem is
formulated using mathematical model of the system. The forward problem is solved using the …

In this paper an application and selected implemented algorithms destined to an Intelligent
System for Radiogram Analysis ISAR for welds quality inspection is presented. ISAR contains …

A technology that utilizes penetrating rays is one of the oldest nondestructive testing methods.
Nowadays, the process of radiogram analysis is performed by qualified human operators …

Titanium alloy based details due to their mechanical properties continue to be in extensive
use in various structures (mainly aerospace, automotive and petro‐chemical industrial …

In this paper the authors focus on detection of wire image quality indicators, which are widely
applied in industrial radiography. Two algorithms for IQI detection are proposed. The first …