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Tomasz Rymarczyk
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2020 – today
- 2024
- [j14]Manuchehr Soleimani
, Tomasz Rymarczyk
Ultrasound Brain Tomography: Comparison of Deep Learning and Deterministic Methods. IEEE Trans. Instrum. Meas. 73: 1-12 (2024) - [c34]Barbara Stefaniak
Poster abstract: Detecting lung diseases with electrical impedance tomography. SenSys 2024: 816-817 - [c33]Monika Kulisz
Poster: The Use of Machine Learning in Electrical Impedance Tomography - A Variable Frequency Approach. SenSys 2024: 830-831 - [c32]Tomasz Rymarczyk
Poster Abstract: Acoustic Analysis System for Monitoring Respiratory Disease Symptoms. SenSys 2024: 857-858 - [c31]Marcin Dziadosz
Poster Abstract: A Computer Vision System for Human Motion Monitoring on a Bicycle Trainer. SenSys 2024: 859-860 - [c30]Grzegorz Klosowski
Poster: The Concept of an Ultrasensitive Industrial Ultrasound Scanner Using Hilbert and Wavelet Transforms in a Machine Learning Model. SenSys 2024: 873-874 - [c29]Michal Golabek
Poster: Development of a Beamforming Defectoscope for Advanced Non-Destructive Evaluation Techniques. SenSys 2024: 885-886 - [c28]Michal Maj
Poster: Fusing radio tomography and RGB camera data for enhanced multi-person detection and tracking. SenSys 2024: 891-892 - 2023
- [j13]Bartlomiej Baran
Application of Machine Learning Algorithms to the Discretization Problem in Wearable Electrical Tomography Imaging for Bladder Tracking. Sensors 23(3): 1553 (2023) - [j12]Lukasz Maciura
Autonomous Face Classification Online Self-Training System Using Pretrained ResNet50 and Multinomial Naïve Bayes. Sensors 23(12): 5554 (2023) - [j11]Manuchehr Soleimani
A Tactile Skin System for Touch Sensing with Ultrasound Tomography. Sensors 23(13): 6071 (2023) - [c27]Grzegorz Klosowski
Brain Sensing with Ultrasound Tomography and Deep Learning Algorithms. MobiCom 2023: 127:1-127:3 - [c26]Michal Maj
Cross-Modal Perception for Customer Service. MobiCom 2023: 144:1-144:3 - [c25]Grzegorz Klosowski
Poster Abstract: The Concept of a Lightweight Ultrasound Tomograph for Brain Scanning Using a Heterogeneous Neural Model. SenSys 2023: 506-507 - [c24]Tomasz Rymarczyk
Poster Abstract: A Wearable for Non-Invasive Monitoring and Diagnosing Functional Disorders of the Lower Urinary Tract. SenSys 2023: 510-511 - [c23]Monika Kulisz
Poster Abstract: Improving Image Reconstruction Quality in Ultrasonic Tomography Using Deep Neural Networks. SenSys 2023: 520-521 - 2022
- [j10]Panagiotis Koulountzios
A 4-D Ultrasound Tomography for Industrial Process Reactors Investigation. IEEE Trans. Instrum. Meas. 71: 1-14 (2022) - [c22]Grzegorz Klosowski
Use of the two-stage neural system in industrial electrical tomography - hybrid approach. UbiComp/ISWC Adjunct 2022: 55-56 - [c21]Bartlomiej Kiczek
LETS - a Wearable Heart and Lung Monitoring Device for the Diagnosis of Cardiac and Respiratory Diseases. UbiComp/ISWC Adjunct 2022: 60-62 - [c20]Bartlomiej Kiczek
Electrical impedance tomography bladder monitoring wearable device. UbiComp/ISWC Adjunct 2022: 63-64 - [c19]Grzegorz Klosowski, Tomasz Rymarczyk
The use of heterogeneous deep neural network system in radio tomography to detect people indoors. MobiCom 2022: 859-861 - [c18]Bartlomiej Kiczek
A wearable ultrasonic bladder monitoring device. MobiCom 2022: 886-888 - [c17]Michal Maj
Deep learning model optimization for faster inference using multi-task learning for embedded systems. MobiCom 2022: 892-893 - [c16]Bartlomiej Baran
BETS: A Bladder Monitoring System Using Electrical Impedance Tomography: poster. SenSys 2022: 804-805 - [c15]Tomasz Rymarczyk
Use of a Long Short-Term Memory Network in Radio Tomography to Track People Indoors. SenSys 2022: 859-860 - [c14]Grzegorz Klosowski, Tomasz Rymarczyk
Use of the Two-Stage Neural System in Electrical Impedance Tomography for Imaging Moisture inside Walls. SenSys 2022: 861-862 - 2021
- [j9]Panagiotis Koulountzios
Ultrasonic Time-of-Flight Computed Tomography for Investigation of Batch Crystallisation Processes. Sensors 21(2): 639 (2021) - [j8]Andrés Véjar
Electrical Tomography Reconstruction Using Reconfigurable Waveforms in a FPGA. Sensors 21(9): 3272 (2021) - [j7]Panagiotis Koulountzios
An Ultrasound Tomography Method for Monitoring CO2 Capture Process Involving Stirring and CaCO3 Precipitation. Sensors 21(21): 6995 (2021) - [c13]Mariusz Mazurek, Konrad Kania
Implementation of Block-Wise-Transform-Reduction Method for Image Reconstruction in Ultrasound Transmission Tomography. INFOCOM Workshops 2021: 1-2 - [c12]Grzegorz Klosowski, Tomasz Rymarczyk
Cyber-Physical System for Collecting Data on Moisture Inside the Walls of Buildings. SenSys 2021: 357-358 - [c11]Konrad Kania, Mariusz Mazurek, Tomasz Rymarczyk
Image Reconstruction and Compression in Ultrasound Tomography Using Discrete Cosine Transform. SenSys 2021: 373-374 - [c10]Dariusz Wójcik, Tomasz Rymarczyk
Diagnosing Cardiovascular Diseases with Machine Learning on Body Surface Potential Mapping Data. SenSys 2021: 379-381 - [c9]Dariusz Wójcik, Tomasz Rymarczyk
Ultrasound Tomography for Monitoring the Lower Urinary Tract. SenSys 2021: 388-390 - [c8]Oleksii Hyka, Andrés Véjar
Pseudo Random Binary Sequence Excitation for Electrical Impedance Tomography. SenSys 2021: 393-394 - 2020
- [j6]Grzegorz Klosowski
Quality Assessment of the Neural Algorithms on the Example of EIT-UST Hybrid Tomography. Sensors 20(11): 3324 (2020) - [j5]Tomasz Rymarczyk
Electrical impedance tomography in 3D flood embankments testing - elastic net approach. Trans. Inst. Meas. Control 42(4): 680-690 (2020) - [c7]Mariusz Mazurek
Tomographic Measuring Sensors System for Analysis and Visualization of Technological Processes. DSN (Supplements) 2020: 45-46 - [c6]Bartosz Przysucha, Tomasz Rymarczyk
Improving the Dependability of the ECG Signal for Classification of Heart Diseases. DSN (Supplements) 2020: 63-64 - [c5]Mariusz Mazurek
Dedicated algorithm based on discrete cosine transform for the analysis of industrial processes using ultrasound tomography. UbiComp/ISWC Adjunct 2020: 82-85 - [c4]Dariusz Wójcik, Edward Kozlowski, Michal Wos
Machine learning pathology detection with a body surface potential mapping. UbiComp/ISWC Adjunct 2020: 151-155
2010 – 2019
- 2019
- [j4]Tomasz Rymarczyk
Comparison of Selected Machine Learning Algorithms for Industrial Electrical Tomography. Sensors 19(7): 1521 (2019) - [j3]Tomasz Rymarczyk
Logistic Regression for Machine Learning in Process Tomography. Sensors 19(15): 3400 (2019) - [j2]Panagiotis Koulountzios
A Quantitative Ultrasonic Travel-Time Tomography to Investigate Liquid Elaborations in Industrial Processes. Sensors 19(23): 5117 (2019) - 2018
- [j1]Tomasz Rymarczyk
A Non-Destructive System Based on Electrical Tomography and Machine Learning to Analyze the Moisture of Buildings. Sensors 18(7): 2285 (2018) - [c3]Tomasz Rymarczyk
The Use of Artificial Neural Networks in Tomographic Reconstruction of Soil Embankments. DCAI (Special Sessions) 2018: 104-112 - [c2]Tomasz Rymarczyk
Object Analysis Using Machine Learning to Solve Inverse Problem in Electrical Impedance Tomography. IST 2018: 1-6 - [c1]Tomasz Rymarczyk
Analysis of Leaks in Flood Embankments Using Deterministic Methods and Computational Intelligence Algorithms. IST 2018: 1-6
Coauthor Index
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last updated on 2024-12-05 20:47 CET by the dblp team
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