Application of Fuzzy Logic Controller for Machine Load Balancing in Discrete Manufacturing System. - Grzegorz Klosowski; Arkadiusz Gola; Antoni Swic (IDEAL, 2015)

Application of Fuzzy Logic in Assigning Workers to Production Tasks. - Grzegorz Klosowski; Arkadiusz Gola; Antoni Swic (DCAI, 2016)

Risk-based estimation of manufacturing order costs with artificial intelligence. - Grzegorz Klosowski; Arkadiusz Gola (FedCSIS, 2016)

Application of Fuzzy Logic and Genetic Algorithms in Automated Works Transport Organization. - Arkadiusz Gola; Grzegorz Klosowski (DCAI, 2017)

The Use of Artificial Neural Networks in Tomographic Reconstruction of Soil Embankments. - Tomasz Rymarczyk; Grzegorz Klosowski; Arkadiusz Gola (DCAI (Special Sessions), 2018)

Object Analysis Using Machine Learning to Solve Inverse Problem in Electrical Impedance Tomography. - Tomasz Rymarczyk; Edward Kozlowski; Grzegorz Klosowski (IST, 2018)

Analysis of Leaks in Flood Embankments Using Deterministic Methods and Computational Intelligence Algorithms. - Tomasz Rymarczyk; Grzegorz Klosowski; Pawel Tchórzewski (IST, 2018)

A Non-Destructive System Based on Electrical Tomography and Machine Learning to Analyze the Moisture of Buildings. - Tomasz Rymarczyk; Grzegorz Klosowski; Edward Kozlowski (Sensors, 2018)

Development of computer-controlled material handling model by means of fuzzy logic and genetic algorithms. - Arkadiusz Gola; Grzegorz Klosowski (Neurocomputing, 2019)

Logistic Regression for Machine Learning in Process Tomography. - Tomasz Rymarczyk; Edward Kozlowski; Grzegorz Klosowski; Konrad Niderla (Sensors, 2019)

Comparison of Selected Machine Learning Algorithms for Industrial Electrical Tomography. - Tomasz Rymarczyk; Grzegorz Klosowski; Edward Kozlowski; Pawel Tchórzewski (Sensors, 2019)

Tomographic Measuring Sensors System for Analysis and Visualization of Technological Processes. - Mariusz Mazurek; Tomasz Rymarczyk; Grzegorz Klosowski; Michal Maj; Przemyslaw Adamkiewicz (DSN (Supplements), 2020)

Dedicated algorithm based on discrete cosine transform for the analysis of industrial processes using ultrasound tomography. - Mariusz Mazurek; Tomasz Rymarczyk; Konrad Kania; Grzegorz Klosowski (UbiComp/ISWC Adjunct, 2020)

Quality Assessment of the Neural Algorithms on the Example of EIT-UST Hybrid Tomography. - Grzegorz Klosowski; Tomasz Rymarczyk; Tomasz Cieplak; Konrad Niderla; Lukasz Skowron (Sensors, 2020)

The Use of Neural Networks and Genetic Algorithms to Control Low Rigidity Shafts Machining. - Antoni Swic; Dariusz Wolos; Arkadiusz Gola; Grzegorz Klosowski (Sensors, 2020)

Electrical impedance tomography in 3D flood embankments testing - elastic net approach. - Tomasz Rymarczyk; Edward Kozlowski; Grzegorz Klosowski (Trans. Inst. Meas. Control, 2020)

Image Reconstruction and Compression in Ultrasound Tomography Using Discrete Cosine Transform. - Konrad Kania; Mariusz Mazurek; Tomasz Rymarczyk; Tomasz Cieplak; Grzegorz Klosowski; Konrad Gauda (SenSys, 2021)

Cyber-Physical System for Collecting Data on Moisture Inside the Walls of Buildings. - Grzegorz Klosowski; Tomasz Rymarczyk; Marcin Kowalski (SenSys, 2021)

Use of the two-stage neural system in industrial electrical tomography - hybrid approach. - Grzegorz Klosowski; Tomasz Rymarczyk; Konrad Niderla (UbiComp/ISWC Adjunct, 2022)

The use of heterogeneous deep neural network system in radio tomography to detect people indoors. - Grzegorz Klosowski; Tomasz Rymarczyk; Przemyslaw Adamkiewicz; Michal Styla (MobiCom, 2022)

Use of the Two-Stage Neural System in Electrical Impedance Tomography for Imaging Moisture inside Walls. - Grzegorz Klosowski; Tomasz Rymarczyk; Konrad Niderla (SenSys, 2022)

Use of a Long Short-Term Memory Network in Radio Tomography to Track People Indoors. - Tomasz Rymarczyk; Grzegorz Klosowski; Przemyslaw Adamkiewicz; Michal Styla; Bartlomiej Kiczek (SenSys, 2022)

Brain Sensing with Ultrasound Tomography and Deep Learning Algorithms. - Grzegorz Klosowski; Tomasz Rymarczyk; Manuchehr Soleimani (MobiCom, 2023)

Poster Abstract: The Concept of a Lightweight Ultrasound Tomograph for Brain Scanning Using a Heterogeneous Neural Model. - Grzegorz Klosowski; Tomasz Rymarczyk; Manuchehr Soleimani (SenSys, 2023)

Poster Abstract: Improving Image Reconstruction Quality in Ultrasonic Tomography Using Deep Neural Networks. - Monika Kulisz; Grzegorz Klosowski; Tomasz Rymarczyk; Konrad Niderla; Piotr Bednarczuk (SenSys, 2023)

Poster: Development of a Beamforming Defectoscope for Advanced Non-Destructive Evaluation Techniques. - Michal Golabek; Dariusz Majerek; Grzegorz Klosowski; Tomasz Rymarczyk (SenSys, 2024)

Poster: The Concept of an Ultrasensitive Industrial Ultrasound Scanner Using Hilbert and Wavelet Transforms in a Machine Learning Model. - Grzegorz Klosowski; Tomasz Rymarczyk; Manuchehr Soleimani; Konrad Niderla (SenSys, 2024)

Poster: The Use of Machine Learning in Electrical Impedance Tomography - A Variable Frequency Approach. - Monika Kulisz; Tomasz Rymarczyk; Grzegorz Klosowski; Konrad Niderla; Michal Oleszek (SenSys, 2024)

Ultrasound Brain Tomography: Comparison of Deep Learning and Deterministic Methods. - Manuchehr Soleimani; Tomasz Rymarczyk; Grzegorz Klosowski (IEEE Trans. Instrum. Meas., 2024)

Poster: Application of LSTM Network with Multi-frequency Measurement Sequences in Electrical Tomography for Moisture Detection in Buildings. - Grzegorz Klosowski; Tomasz Rymarczyk; Monika Kulisz; Michal Oleszek; Konrad Niderla (SenSys, 2025)

Poster: Application of differential architecture in neural networks to improve reconstruction quality in ultrasound tomography. - Monika Kulisz; Grzegorz Klosowski; Tomasz Rymarczyk; Konrad Niderla; Pawel Olszewski; Dariusz Wójcik (SenSys, 2025)