Fragmenty książek z 2024 (9)
1. A Computer Vision System for Human Motion Monitoring on a Bicycle Trainer / Marcin Dziadosz, Mariusz Mazurek, Tomasz Rymarczyk, Dariusz Wójcik, Paweł Olszewski. [W]: SenSys '24: Proceedings of the 22nd ACM Conference on Embedded Networked Sensor Systems.- 2024, s. 859-860 [MNiSW: 200]
2. 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. [W]: SenSys '23: Proceedings of the 21st ACM Conference on Embedded Networked Sensor Systems.- 2024, s. 510-511 [MNiSW: 200]
3. Acoustic Analysis System for Monitoring Respiratory Disease Symptoms / Tomasz Rymarczyk, Mariusz Mazurek, Marcin Dziadosz, Dariusz Wójcik, Oleksii Hyka, Krzysztof Król. [W]: SenSys '24: Proceedings of the 22nd ACM Conference on Embedded Networked Sensor Systems.- 2024, s. 857-858 [MNiSW: 200]
4. Development of a Beamforming Defectoscope for Advanced Non-Destructive Evaluation Techniques / Michał Gołąbek, Dariusz Majerek, Grzegorz Kłosowski, Tomasz Rymarczyk. [W]: SenSys '24: Proceedings of the 22nd ACM Conference on Embedded Networked Sensor Systems.- 2024, s. 885-886 [MNiSW: 200]
5. Fusing radio tomography and RGB camera data for enhanced multi-person detection and tracking / Michał Maj, Tomasz Rymarczyk, Łukasz Maciura, Tomasz Cieplak, Damian Pliszczuk. [W]: SenSys '24: Proceedings of the 22nd ACM Conference on Embedded Networked Sensor Systems.- 2024, s. 891-892 [MNiSW: 200]
6. Improving Image Reconstruction Quality in Ultrasonic Tomography Using Deep Neural Networks / Monika Kulisz, Grzegorz Kłosowski, Tomasz Rymarczyk, Konrad Niderla, Piotr Bednarczuk. [W]: SenSys '23: Proceedings of the 21st ACM Conference on Embedded Networked Sensor Systems.- 2024, s. 520-521 [MNiSW: 200]
7. The Concept of a Lightweight Ultrasound Tomograph for Brain Scanning Using a Heterogeneous Neural Model / Grzegorz Kłosowski, Tomasz Rymarczyk, Manuchehr Soleimani. [W]: SenSys '23: Proceedings of the 21st ACM Conference on Embedded Networked Sensor Systems.- 2024, s. 506-507 [MNiSW: 200]
8. The Concept of an Ultrasensitive Industrial Ultrasound Scanner Using Hilbert and Wavelet Transforms in a Machine Learning Model / Grzegorz Kłosowski, Tomasz Rymarczyk, Manuchehr Soleimani, Konrad Niderla. [W]: SenSys '24: Proceedings of the 22nd ACM Conference on Embedded Networked Sensor Systems.- 2024, s. 873-874 [MNiSW: 200]
Fragmenty książek z 2023 (5)
1. Applying Logistic Regression with Elastic Net and PCA to Determine the Objects Location in EIT / Krzysztof Król, Tomasz Rymarczyk, Edward Kozłowski, Konrad Niderla. [W]: 2023 International Interdisciplinary PhD Workshop (IIPhDW).- 2023, s. 56-60 [MNiSW: 20]
2. Brain Sensing with Ultrasound Tomography and Deep Learning Algorithms / Grzegorz Kłosowski, Tomasz Rymarczyk, Manuchehr Soleimani. [W]: ACM MobiCom '23 : Proceedings of the 29th Annual International Conference on Mobile Computing and Networking.- 2023, s. 1507-1509 [MNiSW: 200]
3. Cross-Modal Perception for Customer Service / Michał Maj,Tomasz Rymarczyk, Łukasz Maciura,Tomasz Cieplak, Damian Pliszczuk. [W]: ACM MobiCom '23 : Proceedings of the 29th Annual International Conference on Mobile Computing and Networking.- 2023, s. 1-3 [MNiSW: 200]
Fragmenty książek z 2022 (8)
1. A wearable ultrasonic bladder monitoring device / Bartłomiej Kiczek, Michał Gołąbek, Dariusz Wójcik, Konrad Kania, Edward Kozłowski, Tomasz Rymarczyk, Jan Sikora. [W]: ACM MobiCom '22 : Proceedings of the 28th Annual International Conference on Mobile Computing and Networking.- 2022, s. 886-888 [MNiSW: 200]
2. Comparison of Multilayer Perceptron and Convolutional Neural Networks in 3D Process Electrical Tomography / Tomasz Rymarczyk, Grzegorz Kłosowski, Konrad Niderla. [W]: 8th Symposium on Applied Electromagnetics SAEM’2022 : book of digests.- 2022, s. 17-22
3. Deep learning model optimization for faster inference using multi-task learning for embedded systems / Michał Maj, Tomasz Rymarczyk, Tomasz Cieplak, Damian Pliszczuk. [W]: ACM MobiCom '22 : Proceedings of the 28th Annual International Conference on Mobile Computing and Networking.- 2022, s. 892-893 [MNiSW: 200]
4. Electrical impedance tomography bladder monitoring wearable device / Bartłomiej Kiczek, Dariusz Wójcik, Michał Oleszek, Tomasz Rymarczyk, Krzysztof Król, Edward Kozłowski. [W]: UbiComp/ISWC '22 Adjunct : Adjunct Proceedings of the 2022 ACM International Joint Conference on Pervasive and Ubiquitous Computing and the 2022 ACM International Symposium on Wearable Computers.- 2022, s. 63-64 [MNiSW: 200]
5. The use of Heterogeneous Deep Neural Network System in Radio Tomography to Detect People Indoors / Grzegorz Kłosowski, Tomasz Rymarczyk, Przemysław Adamkiewicz, Michał Styła. [W]: ACM MobiCom '22 : Proceedings of the 28th Annual International Conference on Mobile Computing and Networking.- 2022, s. 859-861 [MNiSW: 200]
6. Use of a Long Short-Term Memory Network in Radio Tomography to Track People Indoors / Tomasz Rymarczyk, Grzegorz Kłosowski, Przemysław Adamkiewicz, Michał Styła, Bartłomiej Kiczek. [W]: SenSys '22 : Proceedings of the 20th ACM Conference on Embedded Networked Sensor Systems.- 2022, s. 859-860 [MNiSW: 200]
7. Use of the Two-Stage Neural System in Electrical Impedance Tomography for Imaging Moisture inside Walls / Grzegorz Kłosowski, Tomasz Rymarczyk, Konrad Niderla. [W]: SenSys '22 : Proceedings of the 20th ACM Conference on Embedded Networked Sensor Systems.- 2022, s. 861-862 [MNiSW: 200]
8. Use of the Two-stage Neural System in Industrial Electrical Tomography - Hybrid Approach / Grzegorz Kłosowski, Tomasz Rymarczyk, Konrad Niderla. [W]: UbiComp/ISWC '22 Adjunct : Adjunct Proceedings of the 2022 ACM International Joint Conference on Pervasive and Ubiquitous Computing and the 2022 ACM International Symposium on Wearable Computers.- 2022, s. 55-56 [MNiSW: 200]
Fragmenty książek z 2021 (4)
1. Cyber-Physical System for Collecting Data on Moisture Inside the Walls of Buildings / Grzegorz Kłosowski, Tomasz Rymarczyk, Marcin Kowalski. [W]: SenSys ’21 : proceedings of the 2021 the 19th ACM Conference on Embedded Networked Sensor Systems.- 2021, s. 357-358 [MNiSW: 200]
2. Image Reconstruction and Compression in Ultrasound Tomography Using Discrete Cosine Transform / Konrad Kania, Mariusz Mazurek, Tomasz Rymarczyk, Tomasz Cieplak, Grzegorz Kłosowski, Konrad Gauda. [W]: SenSys ’21 : proceedings of the 2021 the 19th ACM Conference on Embedded Networked Sensor Systems.- 2021, s. 373-374 [MNiSW: 200]
3. 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 Gołąbek. [W]: IEEE INFOCOM 2021 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS).- 2021, s. 1-2 [MNiSW: 200]
Fragmenty książek z 2020 (8)
1. A complete system for an automated ECG Diagnosis / Dariusz Wójcik, Michał Woś, Grzegorz Kłosowski, Tomasz Rymarczyk. [W]: Wirtualne Sympozjum Środowiskowe PTZE - Zastosowania Elektromagnetyzmu we Współczesnej Inżynierii i Medycynie.- 2020, s. 369-370
2. Dedicated algorithm based on discrete cosine transform for the analysis of industrial processes using ultrasound tomography / Mariusz Mazurek, Tomasz Rymarczyk, Konrad Kania, Grzegorz Kłosowski. [W]: UbiComp-ISWC '20 : Adjunct Proceedings of the 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2020 ACM International Symposium on Wearable Computers.- 2020, s. 82-85 [MNiSW: 200]
3. Effect of features extraction on improving LSTM network quality in ECG signal classification / Grzegorz Kłosowski, Tomasz Rymarczyk, Dariusz Wójcik, Tomasz Cieplak, Michał Woś, Przemysław Adamkiewicz. [W]: Wirtualne Sympozjum Środowiskowe PTZE - Zastosowania Elektromagnetyzmu we Współczesnej Inżynierii i Medycynie.- 2020, s. 184-186
4. Improving the Dependability of the ECG Signal for Classification of Heart Diseases / Bartosz Przysucha, Tomasz Rymarczyk, Dariusz Wójcik, Michał Woś, Andres Vejar. [W]: 50th Annual IEEE/IFIP International Conference on Dependable Systems and Networks DSN-S 2020 : proceedings. Suppl. Vol..- 2020, s. 63-64 [MNiSW: 140]
5. Machine learning pathology detection with a body surface potential mapping / Dariusz Wójcik, Edward Kozłowski, Michał Woś, Tomasz Rymarczyk, Elżbieta Wośko. [W]: UbiComp-ISWC '20 : Adjunct Proceedings of the 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2020 ACM International Symposium on Wearable Computers.- 2020, s. 151-155 [MNiSW: 200]
6. Methods of process mining and prediction using deep learning methods / Tomasz Cieplak, Tomasz Rymarczyk, Grzegorz Kłosowski, Michał Maj. [W]: Wirtualne Sympozjum Środowiskowe PTZE - Zastosowania Elektromagnetyzmu we Współczesnej Inżynierii i Medycynie.- 2020, s. 82-84
7. Neural hybrid tomograph for monitoring industrial reactors / Grzegorz Kłosowski, Tomasz Rymarczyk, Paweł Tchórzewski. [W]: Wirtualne Sympozjum Środowiskowe PTZE - Zastosowania Elektromagnetyzmu we Współczesnej Inżynierii i Medycynie.- 2020, s. 181-183
8. Tomographic Measuring Sensors System for Analysis and Visualization of Technological Processes / Mariusz Mazurek, Tomasz Rymarczyk, Grzegorz Kłosowski, Michał Maj, Przemysław Adamkiewicz. [W]: 50th Annual IEEE/IFIP International Conference on Dependable Systems and Networks DSN-S 2020 : proceedings. Suppl. Vol..- 2020, s. 45-46 [MNiSW: 140]
Fragmenty książek z 2019 (12)
1. Application of a regressive neural network with autoencoder for monochromatic images in ultrasound tomography / Tomasz Rymarczyk, Grzegorz Kłosowski, Konrad Kania, Tomasz Cieplak, Edward Kozlovski. [W]: XXIX Sympozjum Środowiskowe PTZE Zastosowania Elektromagnetyzmu we Współczesnej Inżynierii i Medycynie.- 2019, s. 273-274
2. Application of a regressive neural network with autoencoder for monochromatic images in ultrasound tomography / Tomasz Rymarczyk, Grzegorz Kłosowski, Tomasz Cieplak, Edward Kozłowski, Konrad Kania. [W]: Applications of Electromagnetics in Modern Engineering and Medicine (PTZE) 2019.- 2019, s. 156-160 [MNiSW: 20]
3. Application of logistic regression to image reconstruction in EIT / Edward Kozłowski, Tomasz Rymarczyk, Tomasz Cieplak, Grzegorz Kłosowski, Paweł Tchórzewski. [W]: 2019 International Interdisciplinary PhD Workshop (IIPhDW).- 2019, s. 80-83 [MNiSW: 20]
4. Applying multi-sensor electrodes for image reconstructionby machine learning methods / Tomasz Rymarczyk, Edward Kozłowski, Konrad Niderla, Paweł Rymarczyk, Jan Sikora. [W]: XXIX Sympozjum Środowiskowe PTZE Zastosowania Elektromagnetyzmu we Współczesnej Inżynierii i Medycynie.- 2019, s. 175-176
5. Combining Body Surface Potential Mapping with ECG Analysis / Michał Woś, Tomasz Rymarczyk, Michał Bartosik, Andes Vejar, Edward Kozłowski, Paweł Nita. [W]: Applications of Electromagnetics in Modern Engineering and Medicine (PTZE) 2019.- 2019, s. 258-262 [MNiSW: 20]
6. Innovative Methods of Tomographic Image Reconstruction Based on Machine Learning to Improve Monitoring and optimization in Industrial Processes / Tomasz Rymarczyk, Grzegorz Kłosowski, Edward Kozłowski. [W]: 19th International Symposium on Electro-magnetic Fields in Mechatronics, Electrical and Electronic Engineering (ISEF 2019) : book of abstracts.- 2019, s. 1-2
7. Intelligent Sensor Platform for Multi-Source Data Analysis for Monitoring and Control of Technological Systems / Tomasz Rymarczyk, Bartosz Przysucha. [W]: Applications of Electromagnetics in Modern Engineering and Medicine (PTZE) 2019.- 2019, s. 171-175 [MNiSW: 20]
8. Intelligent sensor platform for multi-source data analysis for monitoring and controlof technological systems / Tomasz Rymarczyk, Tomasz Wołowiec, Bartosz Przysucha. [W]: XXIX Sympozjum Środowiskowe PTZE Zastosowania Elektromagnetyzmu we Współczesnej Inżynierii i Medycynie.- 2019, s. 285-286
9. Logistic Regression Application to Image Reconstruction in UST / Edward Kozłowski, Tomasz Rymarczyk, Grzegorz Kłosowski. [W]: Applications of Electromagnetics in Modern Engineering and Medicine (PTZE) 2019.- 2019, s. 84-88 [MNiSW: 20]
10. Monitoring the natural environment with the use of IoT based system / Tomasz Rymarczyk, Tomasz Cieplak, Grzegorz Kłosowski, Edward Kozłowski. [W]: Applications of Electromagnetics in Modern Engineering and Medicine (PTZE) 2019.- 2019, s. 151-155 [MNiSW: 20]
11. Process analysis with electrical impedance and capacitance tomography data / Tomasz Rymarczyk, Grzegorz Kłosowski, Edward Kozłowski, Paweł Rymarczyk, Konrad Niderla. [W]: XXIX Sympozjum Środowiskowe PTZE Zastosowania Elektromagnetyzmu we Współczesnej Inżynierii i Medycynie.- 2019, s. 277-278
12. The Use of Artificial Neural Networks in Tomographic Reconstruction of Soil Embankments / Tomasz Rymarczyk, Grzegorz Kłosowski, Arkadiusz Gola. [W]: Distributed Computingand Artificial Intelligence.- 2019, s. 102-110 [MNiSW: 20]
Fragmenty książek z 2018 (12)
1. Analysis of leaks in flood embankments using deterministic methods and computational intelligence algorithms / Tomasz Rymarczyk, Grzegorz Kłosowski, Paweł Tchórzewski. [W]: 2018 IEEE International Conference on Imaging Systems and Techniques (IST) [WOS].- 2018, s. 96-101 [MNiSW: 15]
2. Application of a distributed industrial tomography system for the analysis of technological processes / Tomasz Rymarczyk, Konrad Niderla, Edward Kozłowski, Grzegorz Kłosowski, Paweł Tchórzewski. [W]: Applications of Electromagnetics in Modern Techniques and Medicine (PTZE) 2018.- 2018, s. 244-247 [MNiSW: 15]
3. Application of a neural EIT system to control the processes / Tomasz Rymarczyk, Grzegorz Kłosowski, Tomasz Cieplak, Edward Kozłowski. [W]: Applications of Electromagnetics in Modern Techniques and Medicine (PTZE) 2018.- 2018, s. 216-219 [MNiSW: 15]
4. Application of least angle regression methods for image reconstruction in EIT / Tomasz Rymarczyk, Przemysław Adamkiewicz, Edward Kozłowski. [W]: 2018 International Interdisciplinary PhD Workshop (IIPhDW).- 2018, s. 169-171
5. Comparison of the inverse problem solutions for a 2D damp wall multilayer and nonhomogenous models / Maciej Pańczyk, Tomasz Rymarczyk, Jan Sikora. [W]: 2018 International Interdisciplinary PhD Workshop (IIPhDW).- 2018, s. 81-84
6. Detect Dampness in Building Walls by Solving the Inverse Problem in Electrical Impedance Tomography / Tomasz Rymarczyk, Paweł Tchórzewski, Jan Sikora. [W]: Electromagnetic Non-Destructive Evaluation XXI.- 2018, s. 237-245 [MNiSW: 20]
7. Distributed system architecture for the remote monitoring of a flood embankment / Tomasz Rymarczyk, Tomasz Cieplak, Paweł Tchórzewski, Grzegorz Kłosowski, Jan Sikora. [W]: Applications of Electromagnetics in Modern Techniques and Medicine (PTZE) 2018.- 2018, s. 204-207 [MNiSW: 15]
8. Elastic net method in the image reconstruction infiltration of water in the embankment / Tomasz Rymarczyk, Edward Kozłowski, Grzegorz Kłosowski, Paweł Rymarczyk, Przemysław Adamkiewicz. [W]: Applications of Electromagnetics in Modern Techniques and Medicine (PTZE) 2018.- 2018, s. 212-215 [MNiSW: 15]
9. Influence of the measurement method and reconstruction algorithm in the analysis of the airbrick moisture / Tomasz Rymarczyk, Edward Kozłowski, Grzegorz Kłosowski, Przemysław Adamkiewicz. [W]: Applications of Electromagnetics in Modern Techniques and Medicine (PTZE) 2018.- 2018, s. 224-227 [MNiSW: 15]
10. Object analysis using machine learning to solve inverse problem in electrical impedance tomography / Tomasz Rymarczyk, Edward Kozłowski, Grzegorz Kłosowski. [W]: 2018 IEEE International Conference on Imaging Systems and Techniques (IST) [WOS].- 2018, s. 220-225 [MNiSW: 15]
Fragmenty książek z 2014 (1)
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