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 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 ...

Since 2024, breakthroughs in generative AI for Russian language processing have created new opportunities in education. This paper investigates the application of Large Language Models (LLMs) in a Russian course centered on the textbook “The Way to Russia 1”. The study demonstrates that LLMs facilitate the tailored construction of a three-dimensional graph system – integrating ...

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 introduces a novel hierarchical model integrating 2D-CNN and Bi-LSTM-Attention for improved network traffic analysis. We standardized the USTC-TFC-2016 and CICDDoS 2019 datasets into 40 × 40 grayscale images, extracting spatial features with 2D-CNN and temporal dependencies with Bi-LSTMAttention. Our model demonstrated superior accuracy and robustness over conventional ...

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.

Currently, digital technologies, actively spreading, are one of the promising tools for increasing the efficiency of industry and the social sphere and occupy an important place in science and practice.

This work is dedicated to a comparative analysis of urban comfort indicators in the public spaces of Borisov (Belarus) and Tacheng (China). It assesses criteria such as environmental sustainability, inclusivity, green spaces, and public engagement. The study highlights the differences between European and Asian urban planning approaches.

China's “dual carbon” goals are profoundly transforming its macroeconomic model, with low-carbon investment rising from 3.7 % (2015) to 12.4 % of fixed asset investment [3]. This shift, however, creates severe transition challenges for regions reliant on traditional industries. This study uses provincial panel data (2018–2023) [8] to analyze the multi-dimensional socio-economic ...

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