This paper examines the advantages of tunnel design using modern software packages such as Revit. This software package helps speed up the design and construction process.

This study compares the urban comfort in Borisov (Belarus) and Tacheng (China) based on sustainability indicators. It examines green spaces, energy efficiency, and access to infrastructure. The findings highlight shared challenges and propose strategies for greener, more resilient urban development.

This article discusses China's active investment in green hydrogen as a key element of its national energy strategy for 2021–2035 years. It highlights major projects, regional cluster development, and government support that drive the growth of green hydrogen. The article also explores how China's experience provides valuable lessons for Belarus in developing its own sustainable ...

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 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 ...

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 ...

This paper explores how data augmentation techniques influence the performance and generalization of deep learning-based image classifiers. Augmentation is essential for enhancing robustness and accuracy, especially when training data are limited or imbalanced. The study discusses various augmentation methods, from basic geometric transformations to advanced approaches such as ...

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 ...

Performance Time Series (PTS) are widely used to monitor system health, yet their analytical value is often limited by a lack of structured event records. This work argues that PTS analyzability is not an inherent property, but a progressive, human-curated and context-dependent property determined by the presence and richness of causal event annotations. We propose a three-level ...

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 ...