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2020 – today
- 2024
[j8]Manuchehr Soleimani
, Tomasz Rymarczyk, Grzegorz Klosowski:
Ultrasound Brain Tomography: Comparison of Deep Learning and Deterministic Methods. IEEE Trans. Instrum. Meas. 73: 1-12 (2024)- [c21]Monika Kulisz, Tomasz Rymarczyk, Grzegorz Klosowski, Konrad Niderla, Michal Oleszek:
Poster: The Use of Machine Learning in Electrical Impedance Tomography - A Variable Frequency Approach. SenSys 2024: 830-831 - [c20]Grzegorz Klosowski, Tomasz Rymarczyk, Manuchehr Soleimani, Konrad Niderla:
Poster: The Concept of an Ultrasensitive Industrial Ultrasound Scanner Using Hilbert and Wavelet Transforms in a Machine Learning Model. SenSys 2024: 873-874 - [c19]Michal Golabek, Dariusz Majerek, Grzegorz Klosowski, Tomasz Rymarczyk:
Poster: Development of a Beamforming Defectoscope for Advanced Non-Destructive Evaluation Techniques. SenSys 2024: 885-886 - 2023
- [c18]Grzegorz Klosowski, Tomasz Rymarczyk, Manuchehr Soleimani:
Brain Sensing with Ultrasound Tomography and Deep Learning Algorithms. MobiCom 2023: 127:1-127:3 - [c17]Grzegorz Klosowski, Tomasz Rymarczyk, Manuchehr Soleimani:
Poster Abstract: The Concept of a Lightweight Ultrasound Tomograph for Brain Scanning Using a Heterogeneous Neural Model. SenSys 2023: 506-507 - [c16]Monika Kulisz, Grzegorz Klosowski, Tomasz Rymarczyk, Konrad Niderla, Piotr Bednarczuk:
Poster Abstract: Improving Image Reconstruction Quality in Ultrasonic Tomography Using Deep Neural Networks. SenSys 2023: 520-521 - 2022
- [c15]Grzegorz Klosowski, Tomasz Rymarczyk, Konrad Niderla:
Use of the two-stage neural system in industrial electrical tomography - hybrid approach. UbiComp/ISWC Adjunct 2022: 55-56 - [c14]Grzegorz Klosowski, Tomasz Rymarczyk, Przemyslaw Adamkiewicz, Michal Styla:
The use of heterogeneous deep neural network system in radio tomography to detect people indoors. MobiCom 2022: 859-861 - [c13]Tomasz Rymarczyk, Grzegorz Klosowski, Przemyslaw Adamkiewicz, Michal Styla, Bartlomiej Kiczek:
Use of a Long Short-Term Memory Network in Radio Tomography to Track People Indoors. SenSys 2022: 859-860 - [c12]Grzegorz Klosowski, Tomasz Rymarczyk, Konrad Niderla:
Use of the Two-Stage Neural System in Electrical Impedance Tomography for Imaging Moisture inside Walls. SenSys 2022: 861-862 - 2021
- [c11]Grzegorz Klosowski, Tomasz Rymarczyk, Marcin Kowalski:
Cyber-Physical System for Collecting Data on Moisture Inside the Walls of Buildings. SenSys 2021: 357-358 - [c10]Konrad Kania, Mariusz Mazurek, Tomasz Rymarczyk, Tomasz Cieplak, Grzegorz Klosowski, Konrad Gauda:
Image Reconstruction and Compression in Ultrasound Tomography Using Discrete Cosine Transform. SenSys 2021: 373-374 - 2020
- [j7]Grzegorz Klosowski, Tomasz Rymarczyk, Tomasz Cieplak, Konrad Niderla, Lukasz Skowron:
Quality Assessment of the Neural Algorithms on the Example of EIT-UST Hybrid Tomography. Sensors 20(11): 3324 (2020) - [j6]Antoni Swic, Dariusz Wolos, Arkadiusz Gola, Grzegorz Klosowski:
The Use of Neural Networks and Genetic Algorithms to Control Low Rigidity Shafts Machining. Sensors 20(17): 4683 (2020) - [j5]Tomasz Rymarczyk, Edward Kozlowski, Grzegorz Klosowski:
Electrical impedance tomography in 3D flood embankments testing - elastic net approach. Trans. Inst. Meas. Control 42(4): 680-690 (2020) - [c9]Mariusz Mazurek, Tomasz Rymarczyk, Grzegorz Klosowski, Michal Maj, Przemyslaw Adamkiewicz:
Tomographic Measuring Sensors System for Analysis and Visualization of Technological Processes. DSN (Supplements) 2020: 45-46 - [c8]Mariusz Mazurek, Tomasz Rymarczyk, Konrad Kania, Grzegorz Klosowski:
Dedicated algorithm based on discrete cosine transform for the analysis of industrial processes using ultrasound tomography. UbiComp/ISWC Adjunct 2020: 82-85
2010 – 2019
- 2019
- [j4]Arkadiusz Gola, Grzegorz Klosowski:
Development of computer-controlled material handling model by means of fuzzy logic and genetic algorithms. Neurocomputing 338: 381-392 (2019) - [j3]Tomasz Rymarczyk, Grzegorz Klosowski, Edward Kozlowski, Pawel Tchorzewski:
Comparison of Selected Machine Learning Algorithms for Industrial Electrical Tomography. Sensors 19(7): 1521 (2019) - [j2]Tomasz Rymarczyk, Edward Kozlowski, Grzegorz Klosowski, Konrad Niderla:
Logistic Regression for Machine Learning in Process Tomography. Sensors 19(15): 3400 (2019) - 2018
- [j1]Tomasz Rymarczyk, Grzegorz Klosowski, Edward Kozlowski:
A Non-Destructive System Based on Electrical Tomography and Machine Learning to Analyze the Moisture of Buildings. Sensors 18(7): 2285 (2018) - [c7]Tomasz Rymarczyk, Grzegorz Klosowski, Arkadiusz Gola:
The Use of Artificial Neural Networks in Tomographic Reconstruction of Soil Embankments. DCAI (Special Sessions) 2018: 104-112 - [c6]Tomasz Rymarczyk, Edward Kozlowski, Grzegorz Klosowski:
Object Analysis Using Machine Learning to Solve Inverse Problem in Electrical Impedance Tomography. IST 2018: 1-6 - [c5]Tomasz Rymarczyk, Grzegorz Klosowski, Pawel Tchorzewski:
Analysis of Leaks in Flood Embankments Using Deterministic Methods and Computational Intelligence Algorithms. IST 2018: 1-6 - 2017
- [c4]Arkadiusz Gola, Grzegorz Klosowski:
Application of Fuzzy Logic and Genetic Algorithms in Automated Works Transport Organization. DCAI 2017: 29-36 - 2016
- [c3]Grzegorz Klosowski, Arkadiusz Gola, Antoni Swic:
Application of Fuzzy Logic in Assigning Workers to Production Tasks. DCAI 2016: 505-513 - [c2]Grzegorz Klosowski, Arkadiusz Gola:
Risk-based estimation of manufacturing order costs with artificial intelligence. FedCSIS 2016: 729-732 - 2015
- [c1]Grzegorz Klosowski, Arkadiusz Gola, Antoni Swic:
Application of Fuzzy Logic Controller for Machine Load Balancing in Discrete Manufacturing System. IDEAL 2015: 256-263
Coauthor Index
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last updated on 2024-11-08 20:33 CET by the dblp team
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