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Aleksander Skrzypiec

2 linked publication records · AGH University of Krakow

Author: Aleksander SkrzypiecSubject: Informaticsclear all
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SGEM International Multidisciplinary Scientific GeoConference- EXPO Proceedings; 23rd SGEM International Multidisciplinary Scientific GeoConference Proceedings 2023, Informatics, Geoinformatics and Remote Sensing, Vol 23, Issue 2.1.
Publication

COMPARING EMBEDDED SOLUTIONS FOR MECHANICAL VIBRATION ANALYSIS OF A 3D-PRINTED CYCLOIDAL GEARBOX

(STEF92 Technology, 2023-10-01, Dawid Socholik, Aleksander Skrzypiec, Tymoteusz Turlej)

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The vibration study of the cycloidal gear and the prevention of vibrations are important issues in the field of mechanical engineering. Cycloidal gears are used in many different applications, including industrial machinery, industrial robots and medical devices. Vibration tests of the cycloidal gear consist in identifying the sources of vibrations and determining their characteristics. As a result of the conducted research, the sources of vibrations can be identified and strategies for their reduction can be deve...

Informatics2023
SGEM International Multidisciplinary Scientific GeoConference- EXPO Proceedings; 23rd SGEM International Multidisciplinary Scientific GeoConference Proceedings 2023, Informatics, Geoinformatics and Remote Sensing, Vol 23, Issue 2.1.
Publication

COMPARISON OF THE PERFORMANCE OF DIFFERENT NEURAL NETWORK ARCHITECTURES AND PRE-TRAINED NEURAL NETWORKS FOR THE CLASSIFICATION OF FOREST FLORA AND FAUNA

(STEF92 Technology, 2023-10-01, Witold Prusak, Aleksander Skrzypiec, Tymoteusz Turlej)

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The aim of this project is to compare the effectiveness of different neural network architectures and pre-trained models for the classification of forest flora and fauna. Experiments were conducted on a dataset containing images of selected plants and animals found in the forest. The project covers the basics of convolutional neural networks, and compares the architectures of the networks used in the study. The results of the experiments compare the effectiveness of different convolutional neural network architect...

Informatics2023
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