Grzegorz Klosowski

32 papers A* 3C 2Misc 13Journal 8Unranked 6

Year	Rank	Type	Title / Venue / Authors
2025	Misc	`conf`	Poster: Application of LSTM Network with Multi-frequency Measurement Sequences in Electrical Tomography for Moisture Detection in Buildings. SenSys Grzegorz Klosowski, Tomasz Rymarczyk, Monika Kulisz, Michal Oleszek, Konrad Niderla
2025	Misc	`conf`	Poster: Application of differential architecture in neural networks to improve reconstruction quality in ultrasound tomography. SenSys Monika Kulisz, Grzegorz Klosowski, Tomasz Rymarczyk, Konrad Niderla, Pawel Olszewski, Dariusz Wójcik
2025	A*	`conf`	Poster: Smart ECG Classification with Wearable Sensing and Cloud AI: A Mobile Health Approach Using Multi-Feature Time Series. MobiCom Grzegorz Klosowski, Tomasz Rymarczyk, Konrad Niderla, Marcin Kowalski, Manuchehr Soleimani
2024	Misc	`conf`	Poster: Development of a Beamforming Defectoscope for Advanced Non-Destructive Evaluation Techniques. SenSys Michal Golabek, Dariusz Majerek, Grzegorz Klosowski, Tomasz Rymarczyk
2024	Misc	`conf`	Poster: The Concept of an Ultrasensitive Industrial Ultrasound Scanner Using Hilbert and Wavelet Transforms in a Machine Learning Model. SenSys Grzegorz Klosowski, Tomasz Rymarczyk, Manuchehr Soleimani, Konrad Niderla
2024	Misc	`conf`	Poster: The Use of Machine Learning in Electrical Impedance Tomography - A Variable Frequency Approach. SenSys Monika Kulisz, Tomasz Rymarczyk, Grzegorz Klosowski, Konrad Niderla, Michal Oleszek
2024	J	`jnl`	Ultrasound Brain Tomography: Comparison of Deep Learning and Deterministic Methods. IEEE Trans. Instrum. Meas. Manuchehr Soleimani, Tomasz Rymarczyk, Grzegorz Klosowski
2023	A*	`conf`	Brain Sensing with Ultrasound Tomography and Deep Learning Algorithms. MobiCom Grzegorz Klosowski, Tomasz Rymarczyk, Manuchehr Soleimani
2023	Misc	`conf`	Poster Abstract: Improving Image Reconstruction Quality in Ultrasonic Tomography Using Deep Neural Networks. SenSys Monika Kulisz, Grzegorz Klosowski, Tomasz Rymarczyk, Konrad Niderla, Piotr Bednarczuk
2023	Misc	`conf`	Poster Abstract: The Concept of a Lightweight Ultrasound Tomograph for Brain Scanning Using a Heterogeneous Neural Model. SenSys Grzegorz Klosowski, Tomasz Rymarczyk, Manuchehr Soleimani
2022	A*	`conf`	The use of heterogeneous deep neural network system in radio tomography to detect people indoors. MobiCom Grzegorz Klosowski, Tomasz Rymarczyk, Przemyslaw Adamkiewicz, Michal Styla
2022	Misc	`conf`	Use of a Long Short-Term Memory Network in Radio Tomography to Track People Indoors. SenSys Tomasz Rymarczyk, Grzegorz Klosowski, Przemyslaw Adamkiewicz, Michal Styla, Bartlomiej Kiczek
2022	Misc	`conf`	Use of the Two-Stage Neural System in Electrical Impedance Tomography for Imaging Moisture inside Walls. SenSys Grzegorz Klosowski, Tomasz Rymarczyk, Konrad Niderla
2022	—	`conf`	Use of the two-stage neural system in industrial electrical tomography - hybrid approach. UbiComp/ISWC Adjunct Grzegorz Klosowski, Tomasz Rymarczyk, Konrad Niderla
2021	Misc	`conf`	Cyber-Physical System for Collecting Data on Moisture Inside the Walls of Buildings. SenSys Grzegorz Klosowski, Tomasz Rymarczyk, Marcin Kowalski
2021	Misc	`conf`	Image Reconstruction and Compression in Ultrasound Tomography Using Discrete Cosine Transform. SenSys Konrad Kania, Mariusz Mazurek, Tomasz Rymarczyk, Tomasz Cieplak, Grzegorz Klosowski, Konrad Gauda
2020	—	`conf`	Dedicated algorithm based on discrete cosine transform for the analysis of industrial processes using ultrasound tomography. UbiComp/ISWC Adjunct Mariusz Mazurek, Tomasz Rymarczyk, Konrad Kania, Grzegorz Klosowski
2020	J	`jnl`	Electrical impedance tomography in 3D flood embankments testing - elastic net approach. Trans. Inst. Meas. Control Tomasz Rymarczyk, Edward Kozlowski, Grzegorz Klosowski
2020	J	`jnl`	Quality Assessment of the Neural Algorithms on the Example of EIT-UST Hybrid Tomography. Sensors Grzegorz Klosowski, Tomasz Rymarczyk, Tomasz Cieplak, Konrad Niderla, Lukasz Skowron
2020	J	`jnl`	The Use of Neural Networks and Genetic Algorithms to Control Low Rigidity Shafts Machining. Sensors Antoni Swic, Dariusz Wolos, Arkadiusz Gola, Grzegorz Klosowski
2020	—	`conf`	Tomographic Measuring Sensors System for Analysis and Visualization of Technological Processes. DSN (Supplements) Mariusz Mazurek, Tomasz Rymarczyk, Grzegorz Klosowski, Michal Maj, Przemyslaw Adamkiewicz
2019	J	`jnl`	Comparison of Selected Machine Learning Algorithms for Industrial Electrical Tomography. Sensors Tomasz Rymarczyk, Grzegorz Klosowski, Edward Kozlowski, Pawel Tchórzewski
2019	J	`jnl`	Development of computer-controlled material handling model by means of fuzzy logic and genetic algorithms. Neurocomputing Arkadiusz Gola, Grzegorz Klosowski
2019	J	`jnl`	Logistic Regression for Machine Learning in Process Tomography. Sensors Tomasz Rymarczyk, Edward Kozlowski, Grzegorz Klosowski, Konrad Niderla
2018	J	`jnl`	A Non-Destructive System Based on Electrical Tomography and Machine Learning to Analyze the Moisture of Buildings. Sensors Tomasz Rymarczyk, Grzegorz Klosowski, Edward Kozlowski
2018	—	`conf`	Analysis of Leaks in Flood Embankments Using Deterministic Methods and Computational Intelligence Algorithms. IST Tomasz Rymarczyk, Grzegorz Klosowski, Pawel Tchórzewski
2018	—	`conf`	Object Analysis Using Machine Learning to Solve Inverse Problem in Electrical Impedance Tomography. IST Tomasz Rymarczyk, Edward Kozlowski, Grzegorz Klosowski
2018	—	`conf`	The Use of Artificial Neural Networks in Tomographic Reconstruction of Soil Embankments. DCAI (Special Sessions) Tomasz Rymarczyk, Grzegorz Klosowski, Arkadiusz Gola
2017	Misc	`conf`	Application of Fuzzy Logic and Genetic Algorithms in Automated Works Transport Organization. DCAI Arkadiusz Gola, Grzegorz Klosowski
2016	Misc	`conf`	Application of Fuzzy Logic in Assigning Workers to Production Tasks. DCAI Grzegorz Klosowski, Arkadiusz Gola, Antoni Swic
2016	C	`conf`	Risk-based estimation of manufacturing order costs with artificial intelligence. FedCSIS Grzegorz Klosowski, Arkadiusz Gola
2015	C	`conf`	Application of Fuzzy Logic Controller for Machine Load Balancing in Discrete Manufacturing System. IDEAL Grzegorz Klosowski, Arkadiusz Gola, Antoni Swic