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Informatika
ISSN 1816-0301 · National Academy of Sciences of Belarus, the United Institute of Informatics Problems · 1,065 articles in the index
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Journal Article
Latent Factor Analysis of Regional Growth in Belarus Using Structural Equation Modeling
Objectives. This study provides a quantitative assessment of the impact of latent variables on regional economic activity and examines the interactions among various economic sectors and their contributions to regional growth. The analysis focuses on identifying latent factors of socio-economic…
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Journal Article
On the joint optimization of charging stations location, electric bus routing and charging scheduling
Objectives. When replacing a fleet of diesel buses with a fleet of electric buses, the problem of planning the fleet composition, charging infrastructure oriented towards fast recharging at route terminals, and electric bus charging schedules is relevant. The purpose of the study is to develop…
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Journal Article
Neural Networks Based on a Learnable Two-Dimensional Separable Transform for Image Classification: Theory and Hardware Implementation on FPGA
Objectives. Development of methods for design compact and efficient neural networks for image recognition tasks, as well as their hardware implementation based on FPGA.Methods. The paper proposes the concept of a learnable two-dimensional separable transformation (LST) for designing feedforward…
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Journal Article
Recognition of Subcircuits of Tristable Elements in CMOS VLSI
Objectives. The problem of extracting high-level structure at the level of logical elements from a transistor-level circuit is considered. Obtaining such a representation significantly reduces the execution time of VLSI topology verification at the design stage and serves as the basis for…
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Journal Article
The Technology of Translating Natural Language Merchandising Rules into Digital Planograms
Objectives. The aim of the research is to develop and test an approach for the automatic transformation of product layout rules, formulated in natural language, into formalized machine-readable instructions to bridge the gap between business requirements and their technical implementation.Methods…
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Journal Article
Generation of Deterministic Identifiers and Random Numbers Using a Configurable Ring Oscillator Circuit
Objectives. The purpose of the study is to examine the operational characteristics of a digital circuit designed to analyze the output signal frequency of a configurable ring oscillator within a fixed measurement window. Methods. Methods of digital device synthesis and analysis were employed…
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Journal Article
The problem of preventive risk management in "smart communities" based on stochastic simulation
Objectives. The study aims to analyze the problem of preventive risk management for problematic situations and incidents in the functioning of "smart communities" as nuclear structures of large organizational systems under conditions of global turbulence based on mathematical models using the…
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Journal Article
Speech emotion recognition based on LSTM networks with multi-vector attention
Objectives. Improvement of speech emotion recognition accuracy using Long Short-Term Memory (LSTM) recurrent neural network (RNN) models.Methods. The paper proposes a multi-vector attention mechanism for LSTM-based RNNs. This mechanism generalizes the classical soft attention and allows the model…
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Journal Article
An iterative method for two-dimensional scaling of controlled random tests
Objectives. To study the limitations of classical approaches to generating test patterns for controlled random tests based on enumerating test set candidates through their one-dimensional scaling. To address the problem of constructing controlled random tests using an iterative method for…
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Journal Article
Research on the effectiveness of using ensemble methods of multidimensional text analysis in categorization tasks
Objectives. The aim of the work is to experimentally investigate the effectiveness of ensemble methods for multidimensional text analysis in document categorization tasks using the example of authorship identification. Particular attention is paid to comparing classical machine learning algorithms…
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Journal Article
Tonal spaces of vector language models
Objectives. Tonality as a positive-negative mood is a key parameter of text analysis and generation algorithms. Existing machine learning methods encode tonality in computationally extensive and uninterpretable ways which hampers the development of the corresponding applications. The work aims to…
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Journal Article
Application of Tullock Contest Success Function to transaction fee optimization in high-throughput networks
Objectives. This paper investigates the feasibility of applying a Contest Success Function (CSF) to optimize priority fee expenditures in blockchain networks utilizing priority fee auctions. We analyze the model's ability to describe the relationship between "effort" (bid amount) and the…
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Journal Article
Method for spatial resolution enhancement of ambisonic audio based on sparse MDCT representation
Objectives. The problem of developing a method for spatial resolution enhancement of ambisonic audio which improves the efficiency of existing approaches to digital spatial sound representation is being solved.Methods. The proposed approach is based on time-frequency decomposition of the audio…
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Journal Article
Development of an intelligent scheduling system based on a personal assistant
Objectives. The aim of the research is to develop an intelligent scheduling system operating locally on the user's equipment without data transmission via Internet.Methods. This paper examines the problem of ensuring the privacy and autonomy of digital assistants dependent on cloud infrastructure…
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Journal Article
Multicriteria routing algorithms in wireless mesh networks
Objectives. Modern wireless mesh networks place high demands on the adaptability of routing protocols. Standard algorithms are not always able to ensure the required quality of service (QoS) due to variability in parameters such as signal-to-noise ratio, channel load, and node mobility.Methods. A…
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Journal Article
Prediction of cancer cell nuclear centers in immunohistochemical fluorescence images
Objectives. The aim of the study is to develop a method for predicting cancer cell nuclear centers in immunohistochemical fluorescence images using point annotation of nuclear centers.Methods. Deep learning convolutional neural networks are used in this study.Results. A method for predicting cancer…
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Journal Article
Quantum blockchain based on integration of quantum entanglement and consensus algorithm
Objectives. The aim of this work is to develop and implement a conceptual model of a quantum-secured blockchain by integrating a quantum key distribution mechanism based on the E91 protocol into a classical architecture.Methods. The vulnerabilities of classical blockchain cryptographic mechanisms…
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Journal Article
BelLitGPT – language model technologies for the Belarusian language
Objectives. The research is conducted in the field of specialized generative neural networks for the Belarusian language. The authors aim to take the first step towards building a national generative language model.Methods. The paper describes the development process of the BelLitGPT model (700…
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