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Вісник Харківського національного університету імені В.Н. Каразіна. Серія: Математичне моделювання, інформаційні технології, автоматизовані системи управління
ISSN 2304-6201 · V. N. Karazin Kharkiv National University · 224 articles in the index
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Journal Article
Intelligent information technology to support changeability in software life cycle processes of cyber-physical systems
Actuality. The development of software for cyber-physical systems (CPS) should take into account the specific features of their construction and operation, which supposes to support a changeability of project assets and system solutions at all main stages of their life cycle (LC). Solving these…
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Journal Article
XAI Optimization for Low-Latency Neural-Based Intrusion Detection Systems in Network Environments
Relevance. In contemporary network environments, deep learning-based intrusion detection systems (IDS) provide significant improvements in detecting complex and evolving cyber threats. However, their practical deployment in real-time applications is severely limited by computational complexity…
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Journal Article
Comparative analysis of YOLOv5 and MobileNetV3 models for real-time image recognition
Relevance: With the growing need for fast and accurate real-time object recognition, especially for mobile and embedded systems, the question of choosing the optimal AI models arises. Comparisons of lightweight and high-precision architectures such as YOLOv5 and MobileNetV3 are important for…
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Journal Article
Security of medical cyber-physical systems
Relevance. Medical cyber-physical systems (CPS), including IoMT devices for real-time monitoring, diagnostics, and therapy, have become integral to healthcare digitalization. The convergence of operational technology with traditional IT expands attack surfaces, making hospitals and telemedicine…
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Journal Article
Research of the procedure for converting text into sql based on large language models (LLM) through cross-domaine semantic analysis
Theme of work. Research on the Text-to-SQL conversion procedure based on Large Language Models (LLM) through Cross-Domain Semantic Analysis. Purpose of work. To enhance the accuracy and adaptability of Text-to-SQL conversion using Large Language Models (LLM) through cross-domain semantic analysis…
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Journal Article
Methods of Cyber Espionage and Their Impact on International Security
The relevance of this research is determined by the increasing role of cyber espionage as a geopolitical tool and a means of obtaining confidential information. In the context of digitalization, government institutions, international organizations, and corporate entities are becoming key targets of…
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Journal Article
A Systematic Review on Workload Change Detection in Distributed Databases
Distributed Databases became essential part of a large part of nowadays software. It has numerous of advantages including scalability, fault tolerance, high availability, and improved performance. It solves a lot of problems of centralized databases but can also suffer with challenges. One of them…
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Journal Article
Using fractal analysis in neural network optimization algorithms in medical diagnostics
Relevance. The development of optimization methods for neural networks in medical tasks is limited by data noisiness and imbalance, which complicates the application of classical algorithms. The use of fractal analysis makes it possible to create new approaches for improving the robustness…
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Journal Article
Analysis of software for the implementation of OSINT in the field of information security
Relevance. The global modern cyberspace is characterized by a rapid increase in risks and threats to important information of government agencies, business and society. In such circumstances, open source intelligence (OSINT) is gaining importance as a tool for monitoring the information space…
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Journal Article
Crime analysis and prediction using machine learning methods
Relevance. As artificial intelligence continues to develop and computer power increases, there is growing interest in applying machine learning methods to tackle tasks that are challenging for humans. One such task is crime prediction, which has significant potential to enhance the effectiveness of…
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Journal Article
On the impact of prompts on agent performance in a virtual environment
Relevance: Currently, it is promising to study the application of language models in decision-making tasks. It is possible to use pre-trained language models that demonstrate skills in working with arbitrary text, solving logical tasks, and are able to learn from text examples. Such language models…
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Journal Article
Improving the Accuracy of Target Coordinate Estimation in an Automated Acoustic System through Temporal Characteristics Analysis
The aim of the paper is developing an algorithm to enhance targeting accuracy by establishing a functional relationship between the bearing-angle error and the width of the time-decryption window, thereby improving the precision with which automated acoustic systems determine target coordinates…
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Journal Article
Modeling the structure of roles in a project task management system
Relevance. In modern project management information systems, a clear role structure is critical for the effective organization of teamwork. The Scrum, XP, and DSDM methodologies involve the distribution of authority and access to resources according to the functional roles of participants. This is…
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Journal Article
Design and Prospects for Developing a Modular GSM Library for MicroPython with NB-IoT Support
Relevance. In the context of the growing popularity of the Internet of Things (IoT), the development of software compatible with limited hardware resources is becoming increasingly relevant. NB-IoT technology provides energy-efficient communication for autonomous devices; however, its integration…
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Journal Article
Intelligent system for monitoring the temperature regime of the primary circuit of a nuclear power plant power unit based on fractal-cluster analysis
Actuality. Ensuring the effective and safe operation of nuclear power units requires constant monitoring of the temperature parameters of the primary circuit. Of particular importance is the detection of non-standard coolant operating modes and the prevention of heat transfer crises that can lead…
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Journal Article
On the Dynamic Problem of Optimal Set Partitioning with Determination of Subset Center Coordinates
Relevance. Optimal set partitioning is one of the key problems in modern applied mathematics and optimization theory, with wide-ranging applications in logistics, computer science, bioengineering, complex systems modeling, and artificial intelligence. Of particular interest are dynamic variants of…
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Journal Article
Computer modeling of spectrometric signals with increased detailing
Relevance. Computer methods for analyzing digitized spectrometric signals have been widely developed. However, there is a problem of objectively assessing the effectiveness of a particular digital processing method due to the randomness of processes at the input of the radiation detector, which can…
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Journal Article
Investigation of computer systems to detect intrusions and network anomalies
The article describes models of intrusion and network anomaly detection systems with quantum autocoding in computer systems. The paper proposes innovative methods for researching intrusion and network anomaly detection systems with quantum autocoding in computer systems that can provide fast…
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Journal Article
Distributed Data Storing Based on Distributed Transaction Ledger
The primary trend in the development of modern information technologies is the migration of computations to the cloud, making distributed computing the dominant strategy for information processing. In particular, this poses the challenge of reliable distributed data storage. A well-known approach…
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Journal Article
Research on survival strategies of artificial life in dynamic environment
This research seeks to develop evolutionary methods for constructing deep neural networks, offering potential improvements to machine learning techniques by modeling adaptive architectures under selective pressures. Purpose. The goal of the work is to explore the dynamics of neural complexity in…