This work contrasts traditional parametric walking models, which handle simple gait well but fail on nonlinear or disease-affected patterns, with a Non-Parametric Walking Model (NPWM) built from plantar insole time–spatial features. The Neurological Disease Detection Feature Mining Method (NDFMM) identifies goal-oriented walking patterns through sorted-metrics–based selection. ...

The article presents the results of the development of the Confinity digital platform for organizing and supporting scientific events. The developed solution is designed to increase the efficiency of scientific communications and reduce the administrative burden on the organizers. The created payment form allows you to automate the processes of submitting applications, content ...

In visual navigation and positioning tasks, agents often fail to simultaneously observe two distant feature points due to the limited field of view (𝐹𝑂𝑉) of the camera, leading to angle measurement failure. This paper proposes a chain tracking measurement method, this method does not rely on additional hardware, utilizing only natural feature points in the image sequence for ...

This paper considers a structure for onboard communication equipment. Its purpose is to collect and process information about the road situation and transmit the data for further processing by artificial intelligence (AI) systems, enabling advanced driver-assistance and traffic optimization solutions.

Traditional RFID user identification systems, which rely on tags storing and transmitting complete unique identifiers, face limitations in security and efficiency. This paper analyzes an innovative identification model whose core principle is that an RFID tag stores only a non-unique partial identifier and a unique cryptographic secret. Through a backend service-driven ...

Image enhancement plays a critical role in improving the accuracy and robustness of image matching between satellite and Unmanned Aerial Vehicle (UAV) imagery. Variations in resolution, illumination, and geometry between these two imaging modalities often hinder direct comparison. This paper reviews key traditional and deep learning–based enhancement algorithms used to address ...

This article focuses on the challenges of effectively organizing the educational process and the interaction of its participants. The authors examine methods for developing an intuitive and adaptive digital environment for interaction between participants in the educational process.

The article is devoted to the issues of using artificial intelligence for creating interactive projects in the educational environment for facilitating the comprehension and memorizing complicated and important information.

The article explores the phenomenon of neuro-myths – modern myths generated by artificial intelligence. The author analyzes the reasons for their emergence and the impact on different generations. Based on a survey, conclusions are drawn about the perception of neuro-myths by young people.

This study develops a framework for integrating Multi-Agent System (MAS) with Explainable AI (XAI) to address interpretability challenges in traffic management. The proposed three-layer framework implements local XAI modules (LIME, SHAP) at the agent level, explanation aggregation at the coordinator level, and human-machine interaction at the user level. Framework is expected to ...