Tomasz Rymarczyk

Orcid: 0000-0002-3524-9151

According to our database1, Tomasz Rymarczyk authored at least 41 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Ultrasound Brain Tomography: Comparison of Deep Learning and Deterministic Methods.
IEEE Trans. Instrum. Meas., 2024

2023
A Tactile Skin System for Touch Sensing with Ultrasound Tomography.
Sensors, July, 2023

Application of Machine Learning Algorithms to the Discretization Problem in Wearable Electrical Tomography Imaging for Bladder Tracking.
Sensors, February, 2023

Autonomous Face Classification Online Self-Training System Using Pretrained ResNet50 and Multinomial Naïve Bayes.
Sensors, 2023

Poster Abstract: A Wearable for Non-Invasive Monitoring and Diagnosing Functional Disorders of the Lower Urinary Tract.
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.
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.
Proceedings of the 21st ACM Conference on Embedded Networked Sensor Systems, 2023

Cross-Modal Perception for Customer Service.
Proceedings of the 29th Annual International Conference on Mobile Computing and Networking, 2023

Brain Sensing with Ultrasound Tomography and Deep Learning Algorithms.
Proceedings of the 29th Annual International Conference on Mobile Computing and Networking, 2023

2022
A 4-D Ultrasound Tomography for Industrial Process Reactors Investigation.
IEEE Trans. Instrum. Meas., 2022

Use of a Long Short-Term Memory Network in Radio Tomography to Track People Indoors.
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.
Proceedings of the 20th ACM Conference on Embedded Networked Sensor Systems, 2022

BETS: A Bladder Monitoring System Using Electrical Impedance Tomography: poster.
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.
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.
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.
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.
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.
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.
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.
Sensors, 2021

Ultrasonic Time-of-Flight Computed Tomography for Investigation of Batch Crystallisation Processes.
Sensors, 2021

An Ultrasound Tomography Method for Monitoring CO2 Capture Process Involving Stirring and CaCO3 Precipitation.
Sensors, 2021

Diagnosing Cardiovascular Diseases with Machine Learning on Body Surface Potential Mapping Data.
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.
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.
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.
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.
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.
Proceedings of the 2021 IEEE Conference on Computer Communications Workshops, 2021

2020
Electrical impedance tomography in 3D flood embankments testing - elastic net approach.
Trans. Inst. Meas. Control, 2020

Quality Assessment of the Neural Algorithms on the Example of EIT-UST Hybrid Tomography.
Sensors, 2020

Machine learning pathology detection with a body surface potential mapping.
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.
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.
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.
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.
Sensors, 2019

Logistic Regression for Machine Learning in Process Tomography.
Sensors, 2019

A Quantitative Ultrasonic Travel-Time Tomography to Investigate Liquid Elaborations in Industrial Processes.
Sensors, 2019

2018
A Non-Destructive System Based on Electrical Tomography and Machine Learning to Analyze the Moisture of Buildings.
Sensors, 2018

Analysis of Leaks in Flood Embankments Using Deterministic Methods and Computational Intelligence Algorithms.
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.
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.
Proceedings of the Distributed Computing and Artificial Intelligence, 2018


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