Zobrazeno 1 - 10
of 47
pro vyhledávání: '"Krzysztof Król"'
Publikováno v:
Journal of Modern Science, Vol 57, Iss 3, Pp 402-416 (2024)
Advertising campaign analysis reports are considered an essential tool for marketing analytics. They are used to assess the effectiveness of the marketing activities carried out and to improve future activities. It is necessary to verify whether the
Externí odkaz:
https://doaj.org/article/0187dbca06214f42b5759f13b3fe4362
Autor:
Cezary Figura, Krzysztof Król, Grzegorz Bartnik, Mariusz Kowalczuk, Ewa Golec, Piotr Czarnecki
Publikováno v:
Journal of Modern Science, Vol 57, Iss 3, Pp 436-449 (2024)
The main objective was to build a mobile impedance/capacitance tomograph for flow analysis and process optimization. The product responds to the identified needs of target customers who operate in process monitoring, control, and optimization of manu
Externí odkaz:
https://doaj.org/article/380a1bda08d9435d92cae82a39e725cd
Publikováno v:
Journal of Modern Science, Vol 57, Iss 3, Pp 450-466 (2024)
The article discusses an approach to analyzing processes in industrial reactors using advanced systems with feedback. The authors describe the system preparation and image reconstruction algorithms of ultrasonic tomographs (USTs) that have applicatio
Externí odkaz:
https://doaj.org/article/7c18e094f8bc45a6ad9f19ee7937f103
Publikováno v:
Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska, Vol 13, Iss 2 (2023)
This paper presents a new hybrid algorithm using multiple Support Vector Machines models with convolutional autoencoder to Electrical Impedance Tomography, and Ultrasound Computed Tomography image reconstruction. The ultimate hybrid solution uses mul
Externí odkaz:
https://doaj.org/article/bc6953b1b60a4cecbbb37c2daeebff2c
Autor:
Grzegorz Rybak, Edward Kozłowski, Krzysztof Król, Tomasz Rymarczyk, Agnieszka Sulimierska, Artur Dmowski, Piotr Bednarczuk
Publikováno v:
Energies, Vol 16, Iss 24, p 7972 (2023)
Problems related to reducing energy consumption constitute an important basis for scientific research worldwide. A proposal to use various renewable energy sources, including creating a biogas plant, is emphasized in the introduction of this article.
Externí odkaz:
https://doaj.org/article/26e5c53efa354753bc28d9e2664d3127
Publikováno v:
Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska, Vol 13, Iss 1 (2023)
This article presents an industrial tomography platform used to diagnose and control technological processes. The system has been prepared so that it is possible to add individual sensors cooperating with the system of an intelligent cyber-physical p
Externí odkaz:
https://doaj.org/article/a4c994045ecd4c1d9695023b5d33217d
Autor:
Bartosz Przysucha, Dariusz Wójcik, Tomasz Rymarczyk, Krzysztof Król, Edward Kozłowski, Marcin Gąsior
Publikováno v:
Energies, Vol 16, Iss 3, p 1490 (2023)
The main goal of this paper is to research and analyze the problem of image reconstruction performance using machine learning methods in 3D electrical capacitance tomography (ECT) and electrical impedance tomography (EIT) by comparing the areas insid
Externí odkaz:
https://doaj.org/article/7ab1937a11f24da39263e2ba22210665
Publikováno v:
Sensors, Vol 22, Iss 20, p 7740 (2022)
Objective: Respiratory movements are a significant factor that may hinder the use of image navigation systems during minimally invasive procedures used to destroy focal lesions in the liver. This article aims to present a method of estimating the dis
Externí odkaz:
https://doaj.org/article/4f2140f055af4faca4b0b10ccc6b73a3
Autor:
Tomasz Rymarczyk, Krzysztof Król, Edward Kozłowski, Tomasz Wołowiec, Marta Cholewa-Wiktor, Piotr Bednarczuk
Publikováno v:
Energies, Vol 14, Iss 23, p 8081 (2021)
This paper presents an application for the monitoring of leaks in flood embankments by reconstructing images in electrical tomography using logistic regression machine learning methods with elastic net regularisation, PCA and wave preprocessing. The
Externí odkaz:
https://doaj.org/article/a0173614fb754b7d9488856860763352
Autor:
Tomasz Rymarczyk, Konrad Niderla, Edward Kozłowski, Krzysztof Król, Joanna Maria Wyrwisz, Sylwia Skrzypek-Ahmed, Piotr Gołąbek
Publikováno v:
Energies, Vol 14, Iss 23, p 8116 (2021)
The research presented here concerns the analysis and selection of logistic regression with wave preprocessing to solve the inverse problem in industrial tomography. The presented application includes a specialized device for tomographic measurements
Externí odkaz:
https://doaj.org/article/09b9bd02989d46d0b9519d13f628d502