Author Paweł Dymora
Anomaly Detection in MAVLink Telemetry Logs of Unmanned Aerial Vehicles Using Data Analytics Methods
Adv. Sci. Technol. Res. J. 2026;
Comparative analysis of machine learning models for multiclass anomaly detection in IoT network traffic using the RT-IoT2022 dataset
Adv. Sci. Technol. Res. J. 2026; 20(4):45-59
Optimizing traffic volume prediction: Linear regression vs. random forest
Adv. Sci. Technol. Res. J. 2025; 19(11):382-399
Analysis of the time slot length impact of selected data link layer protocols on energy resource consumption in wireless sensor networks
Adv. Sci. Technol. Res. J. 2025; 19(2):114-126
Detection of Incidents and Anomalies in Software-Defined Network – Based Implementations of Critical Infrastructure Resulting in Adaptive System Changes
Patryk Organiściak, Paweł Kuraś, Dominik Strzalka, Andrzej Paszkiewicz, Marek Bolanowski, Bartosz Kowal, Michał Ćmil, Paweł Dymora, Mirosław Mazurek, Veronika Vanivska
Adv. Sci. Technol. Res. J. 2024; 18(7):176-191
Most read
- Month
- Year
We process personal data collected when visiting the website. The function of obtaining information about users and their behavior is carried out by voluntarily entered information in forms and saving cookies in end devices. Data, including cookies, are used to provide services, improve the user experience and to analyze the traffic in accordance with the Privacy policy. Data are also collected and processed by Google Analytics tool (more).
You can change cookies settings in your browser. Restricted use of cookies in the browser configuration may affect some functionalities of the website.
You can change cookies settings in your browser. Restricted use of cookies in the browser configuration may affect some functionalities of the website.
