Zobrazeno 1 - 10
of 267
pro vyhledávání: '"Tomasz Rymarczyk"'
Autor:
Bartłomiej Baran, Tomasz Rymarczyk, Dariusz Majerek, Piotr Szyszka, Dariusz Wójcik, Tomasz Cieplak, Marcin Gąsior, Marcin Marczuk, Edmund Wąsik, Konrad Gauda
Publikováno v:
Energies, Vol 17, Iss 21, p 5406 (2024)
This paper focuses on reducing energy consumption in ultrasound tomography by utilizing machine learning techniques. The core idea is to investigate the feasibility of minimizing the number of measurement sensors without sacrificing prediction accura
Externí odkaz:
https://doaj.org/article/600065bfd6a847aab6417d1e7aa570f7
Autor:
Tomasz Rymarczyk, Jan Sikora
Publikováno v:
Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska, Vol 14, Iss 1 (2024)
The accuracy of calculations of integrals with logarithmic singularities for two methods, namely the method of ignoring singularities and the method of subtraction (consisting in separating the singular part from the remaining non-singular), are pres
Externí odkaz:
https://doaj.org/article/afa5f417846f4cd1a86dc05b5e63aaf3
Ultrasound tomography enhancement by signal feature extraction with modular machine learning method.
Publikováno v:
PLoS ONE, Vol 19, Iss 1, p e0297496 (2024)
Robust and reliable diagnostic methods are desired in various types of industries. This article presents a novel approach to object detection in industrial or general ultrasound tomography. The key idea is to analyze the time-dependent ultrasonic sig
Externí odkaz:
https://doaj.org/article/f51891b504be4a99ad222c3ebe4c9653
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:
Monika Kulisz, Grzegorz Kłosowski, Tomasz Rymarczyk, Jolanta Słoniec, Konrad Gauda, Wiktor Cwynar
Publikováno v:
Energies, Vol 17, Iss 3, p 681 (2024)
This paper presents innovative machine-learning solutions to enhance energy efficiency in electrical tomography for industrial reactors. Addressing the key challenge of optimizing the neural model’s loss function, a classifier tailored to precisely
Externí odkaz:
https://doaj.org/article/de8c132f74144bd9b8e89020690635af
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:
Applied Computer Science, Vol 18, Iss 2, Pp 101-109 (2022)
In this work, we present a computer simulation model that generates the propagation of sound waves to solve a forward problem in ultrasound transmission tomography. The simulator can be used to create data sets used in the supervised learning process
Externí odkaz:
https://doaj.org/article/0d33af3e2e904e75a24ce18a81885fec
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:
Tomasz Rymarczyk, Jan Sikora
Publikováno v:
Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska, Vol 12, Iss 4 (2022)
Problems with the accuracy of calculations by the Boundary Element Method of acoustic and ultrasonic problems formulated in the frequency domain were presented in this paper. The inverse problem was formulated to identify the position and dimensions
Externí odkaz:
https://doaj.org/article/627ef14de1484d2492b96c5c48df1276
Autor:
Manuchehr Soleimani, Tomasz Rymarczyk
Publikováno v:
Sensors, Vol 23, Iss 13, p 6071 (2023)
The tomographic imaging method is promising in large-area touch-sensing applications. This paper presents a new type of such touch sensor using ultrasonic tomography (UST) via sound attenuation imaging. UST is gaining popularity as a portable, fast,
Externí odkaz:
https://doaj.org/article/a173d58c88ce4c3e9e921ca55f5097bd