Tomasz Rymarczyk

According to our database, Tomasz Rymarczyk authored at least 41 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Ultrasound Brain Tomography: Comparison of Deep Learning and Deterministic Methods.

Manuchehr Soleimani, Tomasz Rymarczyk, Grzegorz Klosowski

IEEE Trans. Instrum. Meas., 2024

2023

A Tactile Skin System for Touch Sensing with Ultrasound Tomography.

Manuchehr Soleimani, Tomasz Rymarczyk

Sensors, July, 2023

Application of Machine Learning Algorithms to the Discretization Problem in Wearable Electrical Tomography Imaging for Bladder Tracking.

Bartlomiej Baran, Edward Kozlowski, Dariusz Majerek, Tomasz Rymarczyk, Manuchehr Soleimani, Dariusz Wójcik

Sensors, February, 2023

Autonomous Face Classification Online Self-Training System Using Pretrained ResNet50 and Multinomial Naïve Bayes.

Lukasz Maciura, Tomasz Cieplak, Damian Pliszczuk, Michal Maj, Tomasz Rymarczyk

Sensors, 2023

Poster Abstract: A Wearable for Non-Invasive Monitoring and Diagnosing Functional Disorders of the Lower Urinary Tract.

Tomasz Rymarczyk, Mariusz Mazurek, Oleksii Hyka, Dariusz Wójcik, Marcin Dziadosz, Marcin Kowalski

Proceedings of the 21st ACM Conference on Embedded Networked Sensor Systems, 2023

Poster Abstract: Improving Image Reconstruction Quality in Ultrasonic Tomography Using Deep Neural Networks.

Monika Kulisz, Grzegorz Klosowski, Tomasz Rymarczyk, Konrad Niderla, Piotr Bednarczuk

Proceedings of the 21st ACM Conference on Embedded Networked Sensor Systems, 2023

Poster Abstract: The Concept of a Lightweight Ultrasound Tomograph for Brain Scanning Using a Heterogeneous Neural Model.

Grzegorz Klosowski, Tomasz Rymarczyk, Manuchehr Soleimani

Proceedings of the 21st ACM Conference on Embedded Networked Sensor Systems, 2023

Cross-Modal Perception for Customer Service.

Michal Maj, Tomasz Rymarczyk, Lukasz Maciura, Tomasz Cieplak, Damian Pliszczuk

Proceedings of the 29th Annual International Conference on Mobile Computing and Networking, 2023

Brain Sensing with Ultrasound Tomography and Deep Learning Algorithms.

Grzegorz Klosowski, Tomasz Rymarczyk, Manuchehr Soleimani

Proceedings of the 29th Annual International Conference on Mobile Computing and Networking, 2023

2022

A 4-D Ultrasound Tomography for Industrial Process Reactors Investigation.

Panagiotis Koulountzios, Tomasz Rymarczyk, Manuchehr Soleimani

IEEE Trans. Instrum. Meas., 2022

Use of a Long Short-Term Memory Network in Radio Tomography to Track People Indoors.

Tomasz Rymarczyk, Grzegorz Klosowski, Przemyslaw Adamkiewicz, Michal Styla, Bartlomiej Kiczek

Proceedings of the 20th ACM Conference on Embedded Networked Sensor Systems, 2022

Use of the Two-Stage Neural System in Electrical Impedance Tomography for Imaging Moisture inside Walls.

Grzegorz Klosowski, Tomasz Rymarczyk, Konrad Niderla

Proceedings of the 20th ACM Conference on Embedded Networked Sensor Systems, 2022

BETS: A Bladder Monitoring System Using Electrical Impedance Tomography: poster.

Bartlomiej Baran, Dariusz Wójcik, Michal Oleszek, Andrés Véjar, Tomasz Rymarczyk

Proceedings of the 20th ACM Conference on Embedded Networked Sensor Systems, 2022

Deep learning model optimization for faster inference using multi-task learning for embedded systems.

Michal Maj, Tomasz Rymarczyk, Tomasz Cieplak, Damian Pliszczuk

Proceedings of the ACM MobiCom '22: The 28th Annual International Conference on Mobile Computing and Networking, Sydney, NSW, Australia, October 17, 2022

The use of heterogeneous deep neural network system in radio tomography to detect people indoors.

Grzegorz Klosowski, Tomasz Rymarczyk, Przemyslaw Adamkiewicz, Michal Styla

Proceedings of the ACM MobiCom '22: The 28th Annual International Conference on Mobile Computing and Networking, Sydney, NSW, Australia, October 17, 2022

A wearable ultrasonic bladder monitoring device.

Bartlomiej Kiczek, Michal Golabek, Dariusz Wójcik, Konrad Kania, Edward Kozlowski, Tomasz Rymarczyk, Jan Sikora

Proceedings of the ACM MobiCom '22: The 28th Annual International Conference on Mobile Computing and Networking, Sydney, NSW, Australia, October 17, 2022

Use of the two-stage neural system in industrial electrical tomography - hybrid approach.

Grzegorz Klosowski, Tomasz Rymarczyk, Konrad Niderla

Proceedings of the Adjunct Proceedings of the 2022 ACM International Joint Conference on Pervasive and Ubiquitous Computing and the 2022 ACM International Symposium on Wearable Computers, 2022

LETS - a Wearable Heart and Lung Monitoring Device for the Diagnosis of Cardiac and Respiratory Diseases.

Bartlomiej Kiczek, Dariusz Wójcik, Michal Oleszek, Tomasz Rymarczyk, Jan Sikora, Bartlomiej Baran, Bartosz Przysucha

Proceedings of the Adjunct Proceedings of the 2022 ACM International Joint Conference on Pervasive and Ubiquitous Computing and the 2022 ACM International Symposium on Wearable Computers, 2022

Electrical impedance tomography bladder monitoring wearable device.

Bartlomiej Kiczek, Dariusz Wójcik, Michal Oleszek, Tomasz Rymarczyk, Krzysztof Król, Edward Kozlowski

Proceedings of the Adjunct Proceedings of the 2022 ACM International Joint Conference on Pervasive and Ubiquitous Computing and the 2022 ACM International Symposium on Wearable Computers, 2022

2021

Electrical Tomography Reconstruction Using Reconfigurable Waveforms in a FPGA.

Andrés Véjar, Tomasz Rymarczyk

Sensors, 2021

Ultrasonic Time-of-Flight Computed Tomography for Investigation of Batch Crystallisation Processes.

Panagiotis Koulountzios, Tomasz Rymarczyk, Manuchehr Soleimani

Sensors, 2021

An Ultrasound Tomography Method for Monitoring CO2 Capture Process Involving Stirring and CaCO3 Precipitation.

Panagiotis Koulountzios, Soheil Aghajanian, Tomasz Rymarczyk, Tuomas Koiranen, Manuchehr Soleimani

Sensors, 2021

Diagnosing Cardiovascular Diseases with Machine Learning on Body Surface Potential Mapping Data.

Dariusz Wójcik, Tomasz Rymarczyk, Michal Oleszek, Lukasz Maciura, Piotr Bednarczuk

Proceedings of the SenSys '21: The 19th ACM Conference on Embedded Networked Sensor Systems, Coimbra, Portugal, November 15, 2021

Ultrasound Tomography for Monitoring the Lower Urinary Tract.

Dariusz Wójcik, Tomasz Rymarczyk, Edward Kozlowski, Michal Golabek, Miroslaw Guzik

Proceedings of the SenSys '21: The 19th ACM Conference on Embedded Networked Sensor Systems, Coimbra, Portugal, November 15, 2021

Cyber-Physical System for Collecting Data on Moisture Inside the Walls of Buildings.

Grzegorz Klosowski, Tomasz Rymarczyk, Marcin Kowalski

Proceedings of the SenSys '21: The 19th ACM Conference on Embedded Networked Sensor Systems, Coimbra, Portugal, November 15, 2021

Image Reconstruction and Compression in Ultrasound Tomography Using Discrete Cosine Transform.

Konrad Kania, Mariusz Mazurek, Tomasz Rymarczyk, Tomasz Cieplak, Grzegorz Klosowski, Konrad Gauda

Proceedings of the SenSys '21: The 19th ACM Conference on Embedded Networked Sensor Systems, Coimbra, Portugal, November 15, 2021

Pseudo Random Binary Sequence Excitation for Electrical Impedance Tomography.

Oleksii Hyka, Andrés Véjar, Tomasz Rymarczyk

Proceedings of the SenSys '21: The 19th ACM Conference on Embedded Networked Sensor Systems, Coimbra, Portugal, November 15, 2021

Implementation of Block-Wise-Transform-Reduction Method for Image Reconstruction in Ultrasound Transmission Tomography.

Mariusz Mazurek, Konrad Kania, Tomasz Rymarczyk, Dariusz Wójcik, Tomasz Cieplak, Piotr Golabek

Proceedings of the 2021 IEEE Conference on Computer Communications Workshops, 2021

2020

Electrical impedance tomography in 3D flood embankments testing - elastic net approach.

Tomasz Rymarczyk, Edward Kozlowski, Grzegorz Klosowski

Trans. Inst. Meas. Control, 2020

Quality Assessment of the Neural Algorithms on the Example of EIT-UST Hybrid Tomography.

Grzegorz Klosowski, Tomasz Rymarczyk, Tomasz Cieplak, Konrad Niderla, Lukasz Skowron

Sensors, 2020

Machine learning pathology detection with a body surface potential mapping.

Dariusz Wójcik, Edward Kozlowski, Michal Wos, Tomasz Rymarczyk, Elzbieta Wosko

Proceedings of the UbiComp/ISWC '20: 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and 2020 ACM International Symposium on Wearable Computers, 2020

Dedicated algorithm based on discrete cosine transform for the analysis of industrial processes using ultrasound tomography.

Mariusz Mazurek, Tomasz Rymarczyk, Konrad Kania, Grzegorz Klosowski

Proceedings of the UbiComp/ISWC '20: 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and 2020 ACM International Symposium on Wearable Computers, 2020

Improving the Dependability of the ECG Signal for Classification of Heart Diseases.

Bartosz Przysucha, Tomasz Rymarczyk, Dariusz Wójcik, Michal Wos, Andrés Véjar

Proceedings of the 50th Annual IEEE-IFIP International Conference on Dependable Systems and Networks, 2020

Tomographic Measuring Sensors System for Analysis and Visualization of Technological Processes.

Mariusz Mazurek, Tomasz Rymarczyk, Grzegorz Klosowski, Michal Maj, Przemyslaw Adamkiewicz

Proceedings of the 50th Annual IEEE-IFIP International Conference on Dependable Systems and Networks, 2020

2019

Comparison of Selected Machine Learning Algorithms for Industrial Electrical Tomography.

Tomasz Rymarczyk, Grzegorz Klosowski, Edward Kozlowski, Pawel Tchorzewski

Sensors, 2019

Logistic Regression for Machine Learning in Process Tomography.

Tomasz Rymarczyk, Edward Kozlowski, Grzegorz Klosowski, Konrad Niderla

Sensors, 2019

A Quantitative Ultrasonic Travel-Time Tomography to Investigate Liquid Elaborations in Industrial Processes.

Panagiotis Koulountzios, Tomasz Rymarczyk, Manuchehr Soleimani

Sensors, 2019

2018

A Non-Destructive System Based on Electrical Tomography and Machine Learning to Analyze the Moisture of Buildings.

Tomasz Rymarczyk, Grzegorz Klosowski, Edward Kozlowski

Sensors, 2018

Analysis of Leaks in Flood Embankments Using Deterministic Methods and Computational Intelligence Algorithms.

Tomasz Rymarczyk, Grzegorz Klosowski, Pawel Tchorzewski

Proceedings of the 2018 IEEE International Conference on Imaging Systems and Techniques, 2018

Object Analysis Using Machine Learning to Solve Inverse Problem in Electrical Impedance Tomography.

Tomasz Rymarczyk, Edward Kozlowski, Grzegorz Klosowski

Proceedings of the 2018 IEEE International Conference on Imaging Systems and Techniques, 2018

The Use of Artificial Neural Networks in Tomographic Reconstruction of Soil Embankments.

Tomasz Rymarczyk, Grzegorz Klosowski, Arkadiusz Gola

Proceedings of the Distributed Computing and Artificial Intelligence, 2018