Tomasz Rymarczyk

According to our database1, Tomasz Rymarczyk authored at least 11 papers between 2018 and 2020.

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

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

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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