Now showing items 1-20 of 79

    • 2D-платформер как инструмент популяризации культурного наследия 

      Павлович, А. А.; Якимович, В. С. (БНТУ, 2025)
      The article explores the use of 2D platformer games to promote cultural heritage. It highlights how the genre’s accessibility and visual style engage audiences. The paper discusses the potential of such games as effective digital tools for cultural preservation.
      2026-01-23
    • A survey of CPU-parallel image compression algorithms 

      Li, B.; Ma, J. (БНТУ, 2025)
      This survey reviews classical image compression methods for CPU environments, excluding deep learning techniques. It covers pixel-domain predictive coding (DPCM, JPEG-LS), frequency-domain transform coding (JPEG with DCT, JPEG2000 with wavelets), and modern image formats (WebP, HEIF/AVIF, JPEG XL). The focus is on their operating principles, computational complexity, artifacts, ...
      2026-01-23
    • ACO for energy-efficient routing in multi-agent IoT networks 

      Khajynava, N. V.; Khadzhynava, K. A. (БНТУ, 2025)
      A bioinspired ACO algorithm for routing in multi-agent IoT networks is proposed. Route selection uses pheromone concentration, node distances, and residual energy. Simulations show that this approach yields shorter routes and balanced energy usage, improving network robustness and lifetime.
      2026-01-23
    • An exploratory comparison of outlier detection methods in typical performance time series 

      Wu, Z. (БНТУ, 2025)
      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 ...
      2026-01-23
    • Artificial intelligence drives digital transformation in supply chains 

      Sun, K. (БНТУ, 2025)
      This paper explores the way AI technology systematically promotes the digital transformation of supply chains in Chinese industrial enterprises. It constructs a three-tier organizational economic mechanism model comprising "driving-coresupporting" layers. In this study, the mechanism was confirmed to be effective and significantly improve decision-making optimization, demand ...
      2026-01-23
    • Bodily kinesthetic intelligence (BKI) based on plantar insole sensor signal 

      Hao, L. (БНТУ, 2025)
      This paper presents a framework that integrates Goal-Oriented Bodily Kinesthetic Intelligence (BKI) with disease-oriented walking feature mining using plantar insole sensor signals. By combining BKI’s adaptive motor-control mechanisms with a Neurological Disease Detection Feature Mining Method (NDFMM), the system extracts interpretable gait features and links them to decision ...
      2026-01-23
    • Comparative analysis of YOLOv9–YOLOv12 object detection models on a custom non-open dataset 

      Wang, Q.; Zhang, B.; Wang, C.; Zhang, C. (БНТУ, 2025)
      This paper compares YOLOv9–YOLOv12 object detection models on a custom non-open dataset (6,500 images, 11 classes), all trained for 300 epochs under identical settings. Results show YOLOv12 achieves the highest mAP@0.5 (0.678), outperforming YOLOv9 (0.648), YOLOv10 (0.603), and YOLOv11 (0.649). Architectural optimizations and training stability drive performance disparities, with ...
      2026-01-23
    • Comparison of orb and sift methods under the slam framework 

      Qiyao, Y.; Qinghan, Y.; Jun, M. (БНТУ, 2025)
      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 ...
      2026-01-23
    • Demand-supply matching analysis of fertilizer product and technology assistance from China to Belarus 

      Zhe, W.; Yi, W. (БНТУ, 2025)
      This paper analyzes the feasibility of fertilizer cooperation between China and Belarus by focusing on Belarus’ fertilizer product/technology gaps and China’s supply advantages. Constrained by EU sanctions and insufficient local capacity, Belarus has urgent demands for high-efficiency fertilizers and resource utilization technologies. China complements Belarus with mature capacity, ...
      2026-01-23
    • Enhancing russian handwriting recognition VIA transfer learning and data augmentation with VGG-BiLSTM-CTC 

      Liu, J.; Dang, Z.; Xiong, S. (БНТУ, 2025)
      The VGG-BiLSTM-CTC model has succeeded in many languages, yet Russian handwriting recognition is understudied despite its demand. This research adapts the model to Russian through transfer learning to address this gap.
      2026-01-23
    • Evaluation-oriented data-generating process for performance time series: the perturbation observation decoupling principle 

      Song, Q. (БНТУ, 2025)
      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 ...
      2026-01-23
    • Exploiting mouse sensors for eavesdropping and machine learning-based sound processing 

      Fan, L.; Xia, E. (БНТУ, 2025)
      This paper introduces a novel side-channel attack named the M-Listening Mouse, which exploits the high precision and sensitivity of modern optical mouse sensors to secretly eavesdrop on user speech by detecting minute vibrations on the desktop surface. Audio signals can cause subtle vibrations on the desktop, which can be sensed by the optical sensors of the mouse. Attackers can ...
      2026-01-23
    • Hardware implementation of the Column-Line-Code codec 

      Lin, W.; Xinyue, S.; Jiarou, W.; Shuo, W.; Jun, M. (БНТУ, 2025)
      This paper presents a hardware implementation of the Column-Line Code, an error correction code. The design incorporates three key modules: the encoder, the decoder, and an error injection model for simulation and verification.
      2026-01-23
    • Identification of images of objects obtained in low light conditions using neural network technologies 

      Lin, K.; Balukho, I. N.; Zhukova, M. N.; Kolchevsky, N. N. (БНТУ, 2025)
      The possibilities of artificial intelligence methods, in particular multilayer neural networks, are being studied for object recognition in X-ray images obtained at low photon fluxes. The achieved accuracy level (81–90 %) allows such approaches to be considered promising for further integration into intelligent data processing systems for medical and industrial radiography.
      2026-01-23
    • Image enhancement techniques for satellite and UAV image matching 

      Chen, Y. (БНТУ, 2025)
      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 ...
      2026-01-23
    • Impact of data augmentation strategies on deep learning-based image classification 

      Yu, L. (БНТУ, 2025)
      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 ...
      2026-01-23
    • Information protection in digital transformation: strategy, practice and governance system construction 

      Depeng, P. (БНТУ, 2025)
      In addressing the opportunities and challenges brought about by digital transformation, enterprises should establish a robust security system. This requires developing strict data management standards, covering data classification, access control, and end-to-end management, while deploying multi-layered technical protection measures, such as zero-trust architecture, mandatory ...
      2026-01-23
    • Innovative practices and prospects of new energy solutions in China 

      Yang, Y.; Zhang, P.; Zhang, Y.; Zhou, H. (БНТУ, 2025)
      By 2025, China's installed capacity of wind power and photovoltaic power will surpass that of thermal power. This article analyzes two innovative models: “wind power + heating” and “photovoltaics + aquaculture”, assesses their contribution to the “dual carbon” target, and looks ahead to the future development direction of clean energy.
      2026-01-23
    • Intelligent trading framework based on large language models 

      Guo, Y. (БНТУ, 2025)
      This paper presents an intelligent trading framework based on large language models. This system integrates the semantic reasoning of LLMs with classic statistical models, using LLMs to analyze news, sentiment, and macro reports to generate signals. These signals are combined with historical data and then drive the risk control module. The trading system replaces human analysts, ...
      2026-01-23
    • Method for extended field-of-view angle measurement based on chain tracking of feature points 

      Guo, Q. (БНТУ, 2025)
      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 ...
      2026-01-23