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Grzegorz Klosowski
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2020 – today
- 2024
- [j8]Manuchehr Soleimani
, Tomasz Rymarczyk
Ultrasound Brain Tomography: Comparison of Deep Learning and Deterministic Methods. IEEE Trans. Instrum. Meas. 73: 1-12 (2024) - 2023
- [c18]Grzegorz Klosowski
Brain Sensing with Ultrasound Tomography and Deep Learning Algorithms. MobiCom 2023: 127:1-127:3 - [c17]Grzegorz Klosowski
Poster Abstract: The Concept of a Lightweight Ultrasound Tomograph for Brain Scanning Using a Heterogeneous Neural Model. SenSys 2023: 506-507 - [c16]Monika Kulisz
Poster Abstract: Improving Image Reconstruction Quality in Ultrasonic Tomography Using Deep Neural Networks. SenSys 2023: 520-521 - 2022
- [c15]Grzegorz Klosowski
Use of the two-stage neural system in industrial electrical tomography - hybrid approach. UbiComp/ISWC Adjunct 2022: 55-56 - [c14]Grzegorz Klosowski, Tomasz Rymarczyk
The use of heterogeneous deep neural network system in radio tomography to detect people indoors. MobiCom 2022: 859-861 - [c13]Tomasz Rymarczyk
Use of a Long Short-Term Memory Network in Radio Tomography to Track People Indoors. SenSys 2022: 859-860 - [c12]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
- [c11]Grzegorz Klosowski, Tomasz Rymarczyk
Cyber-Physical System for Collecting Data on Moisture Inside the Walls of Buildings. SenSys 2021: 357-358 - [c10]Konrad Kania, Mariusz Mazurek, Tomasz Rymarczyk
Image Reconstruction and Compression in Ultrasound Tomography Using Discrete Cosine Transform. SenSys 2021: 373-374 - 2020
- [j7]Grzegorz Klosowski
Quality Assessment of the Neural Algorithms on the Example of EIT-UST Hybrid Tomography. Sensors 20(11): 3324 (2020) - [j6]Antoni Swic
The Use of Neural Networks and Genetic Algorithms to Control Low Rigidity Shafts Machining. Sensors 20(17): 4683 (2020) - [j5]Tomasz Rymarczyk
Electrical impedance tomography in 3D flood embankments testing - elastic net approach. Trans. Inst. Meas. Control 42(4): 680-690 (2020) - [c9]Mariusz Mazurek
Tomographic Measuring Sensors System for Analysis and Visualization of Technological Processes. DSN (Supplements) 2020: 45-46 - [c8]Mariusz Mazurek
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
Development of computer-controlled material handling model by means of fuzzy logic and genetic algorithms. Neurocomputing 338: 381-392 (2019) - [j3]Tomasz Rymarczyk
Comparison of Selected Machine Learning Algorithms for Industrial Electrical Tomography. Sensors 19(7): 1521 (2019) - [j2]Tomasz Rymarczyk
Logistic Regression for Machine Learning in Process Tomography. Sensors 19(15): 3400 (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) - [c7]Tomasz Rymarczyk
The Use of Artificial Neural Networks in Tomographic Reconstruction of Soil Embankments. DCAI (Special Sessions) 2018: 104-112 - [c6]Tomasz Rymarczyk
Object Analysis Using Machine Learning to Solve Inverse Problem in Electrical Impedance Tomography. IST 2018: 1-6 - [c5]Tomasz Rymarczyk
Analysis of Leaks in Flood Embankments Using Deterministic Methods and Computational Intelligence Algorithms. IST 2018: 1-6 - 2017
- [c4]Arkadiusz Gola
Application of Fuzzy Logic and Genetic Algorithms in Automated Works Transport Organization. DCAI 2017: 29-36 - 2016
- [c3]Grzegorz Klosowski
Application of Fuzzy Logic in Assigning Workers to Production Tasks. DCAI 2016: 505-513 - [c2]Grzegorz Klosowski
Risk-based estimation of manufacturing order costs with artificial intelligence. FedCSIS 2016: 729-732 - 2015
- [c1]Grzegorz Klosowski
Application of Fuzzy Logic Controller for Machine Load Balancing in Discrete Manufacturing System. IDEAL 2015: 256-263
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