Grzegorz Klosowski

Orcid: 0000-0001-7927-3674

According to our database1, Grzegorz Klosowski authored at least 29 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Ultrasound Brain Tomography: Comparison of Deep Learning and Deterministic Methods.
IEEE Trans. Instrum. Meas., 2024

Poster: The Use of Machine Learning in Electrical Impedance Tomography - A Variable Frequency Approach.
Proceedings of the 22nd ACM Conference on Embedded Networked Sensor Systems, 2024

Poster: The Concept of an Ultrasensitive Industrial Ultrasound Scanner Using Hilbert and Wavelet Transforms in a Machine Learning Model.
Proceedings of the 22nd ACM Conference on Embedded Networked Sensor Systems, 2024

Poster: Development of a Beamforming Defectoscope for Advanced Non-Destructive Evaluation Techniques.
Proceedings of the 22nd ACM Conference on Embedded Networked Sensor Systems, 2024

2023
Poster Abstract: Improving Image Reconstruction Quality in Ultrasonic Tomography Using Deep Neural Networks.
Proceedings of the 21st ACM Conference on Embedded Networked Sensor Systems, 2023

Poster Abstract: The Concept of a Lightweight Ultrasound Tomograph for Brain Scanning Using a Heterogeneous Neural Model.
Proceedings of the 21st ACM Conference on Embedded Networked Sensor Systems, 2023

Brain Sensing with Ultrasound Tomography and Deep Learning Algorithms.
Proceedings of the 29th Annual International Conference on Mobile Computing and Networking, 2023

2022
Use of a Long Short-Term Memory Network in Radio Tomography to Track People Indoors.
Proceedings of the 20th ACM Conference on Embedded Networked Sensor Systems, 2022

Use of the Two-Stage Neural System in Electrical Impedance Tomography for Imaging Moisture inside Walls.
Proceedings of the 20th ACM Conference on Embedded Networked Sensor Systems, 2022

The use of heterogeneous deep neural network system in radio tomography to detect people indoors.
Proceedings of the ACM MobiCom '22: The 28th Annual International Conference on Mobile Computing and Networking, Sydney, NSW, Australia, October 17, 2022

Use of the two-stage neural system in industrial electrical tomography - hybrid approach.
Proceedings of the Adjunct Proceedings of the 2022 ACM International Joint Conference on Pervasive and Ubiquitous Computing and the 2022 ACM International Symposium on Wearable Computers, 2022

2021
Cyber-Physical System for Collecting Data on Moisture Inside the Walls of Buildings.
Proceedings of the SenSys '21: The 19th ACM Conference on Embedded Networked Sensor Systems, Coimbra, Portugal, November 15, 2021

Image Reconstruction and Compression in Ultrasound Tomography Using Discrete Cosine Transform.
Proceedings of the SenSys '21: The 19th ACM Conference on Embedded Networked Sensor Systems, Coimbra, Portugal, November 15, 2021

2020
Electrical impedance tomography in 3D flood embankments testing - elastic net approach.
Trans. Inst. Meas. Control, 2020

The Use of Neural Networks and Genetic Algorithms to Control Low Rigidity Shafts Machining.
Sensors, 2020

Quality Assessment of the Neural Algorithms on the Example of EIT-UST Hybrid Tomography.
Sensors, 2020

Dedicated algorithm based on discrete cosine transform for the analysis of industrial processes using ultrasound tomography.
Proceedings of the UbiComp/ISWC '20: 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and 2020 ACM International Symposium on Wearable Computers, 2020

Tomographic Measuring Sensors System for Analysis and Visualization of Technological Processes.
Proceedings of the 50th Annual IEEE-IFIP International Conference on Dependable Systems and Networks, 2020

2019
Comparison of Selected Machine Learning Algorithms for Industrial Electrical Tomography.
Sensors, 2019

Logistic Regression for Machine Learning in Process Tomography.
Sensors, 2019

Development of computer-controlled material handling model by means of fuzzy logic and genetic algorithms.
Neurocomputing, 2019

2018
A Non-Destructive System Based on Electrical Tomography and Machine Learning to Analyze the Moisture of Buildings.
Sensors, 2018

Analysis of Leaks in Flood Embankments Using Deterministic Methods and Computational Intelligence Algorithms.
Proceedings of the 2018 IEEE International Conference on Imaging Systems and Techniques, 2018

Object Analysis Using Machine Learning to Solve Inverse Problem in Electrical Impedance Tomography.
Proceedings of the 2018 IEEE International Conference on Imaging Systems and Techniques, 2018

The Use of Artificial Neural Networks in Tomographic Reconstruction of Soil Embankments.
Proceedings of the Distributed Computing and Artificial Intelligence, 2018

2017
Application of Fuzzy Logic and Genetic Algorithms in Automated Works Transport Organization.
Proceedings of the Distributed Computing and Artificial Intelligence, 2017

2016
Risk-based estimation of manufacturing order costs with artificial intelligence.
Proceedings of the 2016 Federated Conference on Computer Science and Information Systems, 2016

Application of Fuzzy Logic in Assigning Workers to Production Tasks.
Proceedings of the Distributed Computing and Artificial Intelligence, 2016

2015
Application of Fuzzy Logic Controller for Machine Load Balancing in Discrete Manufacturing System.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2015, 2015


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