Szczepan Paszkiel

Orcid: 0000-0002-4917-5712

According to our database1, Szczepan Paszkiel authored at least 20 papers between 2014 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Bibliography

2024
Automation and Decision Support in the Area of Nephrology Using Numerical Algorithms, Artificial Intelligence, and Expert Approach: Review of the Current State of Knowledge.
IEEE Access, 2024

Identification and Expert Approach to Controlling the Cement Grinding Process Using Artificial Neural Networks and Other Non-Linear Models.
IEEE Access, 2024

2023
The use of the Emotiv Epoc Flex kit in applications involving artificial intelligence.
Proceedings of the 3rd International Workshop on Information Technologies: Theoretical and Applied Problems 2023, 2023

2021
Using Brain-Computer Interface Technology for Modeling 3D Objects in Blender Software.
J. Autom. Mob. Robotics Intell. Syst., 2021

EEG Analysis and Neurofeedback Therapy of Concentration Problems in Mother and Child.
Proceedings of the Control, Computer Engineering and Neuroscience, 2021

Influence of Program Architecture on Software Quality Attributes.
Proceedings of the Control, Computer Engineering and Neuroscience, 2021

Subannual, Seasonal and Interannual Variability of Data on Residential Construction Market - Case Study for Poland.
Proceedings of the Control, Computer Engineering and Neuroscience, 2021

Using EEG Based Brain-Computer Interface to Control Actions in Applications - The Way to Provide New Possibilities for Disabled People.
Proceedings of the Control, Computer Engineering and Neuroscience, 2021

The Use of Multilayer ConvNets for the Purposes of Motor Imagery Classification.
Proceedings of the Automation 2021: Recent Achievements in Automation, 2021

2020
Analysis and Classification of EEG Signals for Brain-Computer Interfaces
Studies in Computational Intelligence 852, Springer, ISBN: 978-3-030-30580-2, 2020

The Use of Facial Expressions Identified from the Level of the EEG Signal for Controlling a Mobile Vehicle Based on a State Machine.
Proceedings of the Automation 2020: Towards Industry of the Future, 2020

Using a WebSocket Server and the JSON Format to Transmit Data for the Purposes of Implementing the Brain-Computer Technology.
Proceedings of the Automation 2020: Towards Industry of the Future, 2020

2019
The Use of Brain-Computer Interface to Control Unmanned Aerial Vehicle.
Proceedings of the Automation 2019, 2019

Using the Raspberry PI2 Module and the Brain-Computer Technology for Controlling a Mobile Vehicle.
Proceedings of the Automation 2019, 2019

2018
Methods of Acquisition, Archiving and Biomedical Data Analysis of Brain Functioning.
Proceedings of the Biomedical Engineering and Neuroscience, 2018

2017
Detection of gestures without begin and end markers by fitting into Bézier curves with least squares method.
Pattern Recognit. Lett., 2017

Characteristics of Question of Blind Source Separation Using Moore-Penrose Pseudoinversion for Reconstruction of EEG Signal.
Proceedings of the Automation 2017, 2017

2016
Control Based on Brain-Bomputer Interface Technology for Video-Gaming With Virtual Reality Techniques.
J. Autom. Mob. Robotics Intell. Syst., 2016

Project and Simulation of a Portable Device for Measuring Bioelectrical Signals from the Brain for States Consciousness Verification with Visualization on LEDs.
Proceedings of the Challenges in Automation, Robotics and Measurement Techniques, 2016

2014
Augmented Reality of Technological Environment in Correlation with Brain Computer Interfaces for Control Processes.
Proceedings of the Recent Advances in Automation, 2014


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