This article describes the project which is a public building featuring Belarusian national symbols. Its walls are coated with graphene-based paint for increased durability and modern performance, blending tradition with innovative Materials.

The concept of "artificial intelligence" is evolving alongside information technology. The definition of this concept is important from a legal perspective.

In this article modernizing omnidirectional motor wheels by replacing radial flux brushless motors with axial flux designs is proposed. This approach reduces wheel mass and dimensions, shortens the magnetic path, and increases power density. As a result, mobile platforms gain faster acceleration, improved maneuverability, and higher energy efficiency. The study highlights limitations ...

This paper proposes a SAR ship detection method based on a receptive field attention mechanism. By integrating Receptive Field Attention Convolution (RFAConv) into the YOLOv11 model, the method dynamically generates attention weights to enhance the perception of local feature significance. Experimental results demonstrate that the improved model significantly enhances detection ...

This study compares and analyzes three outlier detection methods applied to server CPU utilization time series – IQR, Z-Score, and DBSCAN. Based on 1,435 data points collected over a 1-minute interval, the core contribution of this study is a parameter sensitivity analysis. The study demonstrates that there is no universally applicable «best» method and provides deeper insights ...

The Photonics Science detector system includes a control computer operating under Windows XP, equipped with specialized software that provides management of X-ray imaging modes as well as capabilities for data acquisition, storage, and analysis. Functions for which Internet-based remote access must be provided include: X-ray image preview, pixel binning operations, exposure ...

Electroencephalography (EEG), as the core physiological signal reflecting the electrical activity of brain neurons, is susceptible to muscle activity interference during acquisition, generating Electromyography (EMG) artefacts that prove difficult to separate using conventional methods. Therefore, this paper proposes a hybrid 1D-CNN + LSTM framework incorporated with a mixed loss ...

This paper presents a comparative study of ORB and SIFT feature matching methods under the SLAM framework. Both algorithms were implemented and tested on identical image sets to evaluate their performance from multiple classical perspectives, including feature distribution, robustness to illumination and rotation, matching accuracy, and computational efficiency. By Analyzing both ...

This work proposes the Perturbation-Observation Decoupling Principle: by decoupling structured perturbations – defined with precise temporalboundaries and semantic labels – from performance observation paths at the physical, logical, or resource level during the data generation process (DGP), our approach prevents signal contamination and ensures causal traceability. It establishes ...

The rapid advancement of Artificial Intelligence (AI) has brought to the forefront a series of profound contradictions, algorithmic biases, infringements upon privacy, cybersecurity threats, and potential destabilization of economic systems. The pertinent question is no longer whether AI development will persist, but rather whether humanity can effectively govern its trajectory ...