Titlebook: Intelligent and Safe Computer Systems in Control and Diagnostics; Zdzislaw Kowalczuk Conference proceedings 2023 The Editor(s) (if applica

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Automatic Breath Analysis System Using Convolutional Neural Networksx using mel-frequency cepstrum coefficients (MFCC). Such a matrix is analyzed by an artificial neural network. As a result of the research, it was found that the best of the obtained solutions of the presented neural network achieved the desired accuracy and precision at the level of 84%.

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Fundamental Concepts of Modeling Computer Security in Cyberphysical Systemsh tools such as Nmap or Shodan that can be useful in studying security vulnerabilities. Here, we advocate a comprehensive approach, where software tools, such as those mentioned above, could complement theoretical analysis. Work is reported on building an NFR model for SCADA security for the laborat

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Training of Deep Learning Models Using Synthetic Datasetsoften occurs in the resulting trained convolutional networks. Using the Mask R-CNN instance segmentation model as an example, we demonstrate that a network trained on the synthetic dataset of kitchen facilities shows remarkable performance on the validation dataset of real-world human-annotated phot

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Condition-Based Monitoring of DC Motors Performed with Autoencodersesults indicate that the HI obtained with the autoencoders trained with the use of either training method is suitable for both work points. Next, an experiment with multiple autoencoders trained on each specific work point and running in parallel is reviewed. It is shown that, in this case, the mini

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