ARTIFICIAL INTELLIGENCE AND DECISION MAKING
EXPERT SYSTEM FOR INFORMATION SECURITY EVENT ANALYSIS
Volume 11, Issue №1, 2026
This article explores the development of a hybrid expert system for analyzing information security events, aimed at automating threat detection in network traffic. Given the growing volume of data ...
CONSTRUCTING MULTI-DOMAIN KNOWLEDGE SYSTEMS BASED ON MULTI-LAYER KNOWLEDGE GRAPHS
Volume 11, Issue №1, 2026
Knowledge systems enable the representation and application of structured information to solve a wide variety of problems. The development and application of modern knowledge systems inevitably encounter heterogeneous ...
ARCHITECTURE OF A DECISION SUPPORT SYSTEM FOR MICROGRID DEVELOPMENT
Volume 11, Issue №1, 2026
This article examines the architecture of a design decision support system (DSS) for microgrid development. Microgrid use stems from the need to power autonomous facilities located remote from ...
SYSTEM ARCHITECTURE FOR ASR OF AGGLUTINATIVE LOW-RESOURCE LANGUAGES
Volume 11, Issue №1, 2026
The relevance of the research is driven by the need to overcome the digital divide, which is particularly acute for low-resource languages. While speakers of widely spoken languages ...
ANALYSIS OF PROSODIC PARAMETERS OF EMOTIONALLY COLORED SPEECH
Volume 11, Issue №1, 2026
This paper presents a study of prosodic parameters of emotionally colored speech in the Russian language. The aim of the study is to identify the most informative acoustic ...
USING THEMATIC CLUSTERING IN MULTIMODAL DATA TO SEARCH FOR IMPLICIT CONNECTIONS AND TRENDS IN THESAURUS DEVELOPMENT
Volume 10, Issue №4, 2025
With the development of artificial intelligence and machine learning, it has become possible to use hierarchical probabilistic models in the field of natural language processing. Probabilistic or "thematic ...
NEURAL NETWORKS IN THE TASK OF RECOGNIZING CREDIT CARD FRAUD
Volume 10, Issue №4, 2025
The problem of recognizing credit card fraud is currently relevant due to the significant increase in the use of credit cards by the population. At the same time, ...
QUANTIZATION METHOD FOR DETECTION NEURAL NETWORKS ON EMBEDDED SYSTEMS
Volume 10, Issue №4, 2025
Model quantization is a key method for deploying high-performance neural network object detectors on resource-constrained devices. However, standard quantization approaches, such as PTQ, QAT, and even mixed-precision methods, ...
SYSTEM-OBJECT MODELING AS A TOOL FOR VERIFICATION AND OPTIMIZATION OF THE QUALITY CONTROL SYSTEM IN A PRODUCTION LINE (CASE STUDY OF «DENTALCAST 50 TYPE 4» PRODUCT)
Volume 10, Issue №4, 2025
Relevance. In the context of industrial digital transformation and increasing demands for economic efficiency and product quality, methods enabling in-depth analysis and optimization of production systems are becoming ...
NEURAL INFERENCE OF OBJECT LOCALIZATION FROM DISCONTINUOUS TIME-OF-ARRIVAL SEQUENCES
Volume 10, Issue №3, 2025
The article addresses the problem of recovering the coordinates of a moving object in conditions of temporary signal loss or degradation (blackout), typical for complex radio environments. A ...
ON SEGMENTATION OF POLYPS USING SEGMENT ANYTHING MODEL
Volume 10, Issue №3, 2025
Colorectal polyps are critical precursors to colorectal cancer, and their early detection is vital for effective prevention. This study introduces Polyps-SAM2 – an enhanced polyp segmentation model built ...
DIAGNOSIS OF CONVEYOR EQUIPMENT USING NEURAL NETWORK ALGORITHMS
Volume 10, Issue №2, 2025
In the context of the widespread implementation of intelligent monitoring and diagnostic systems, computer vision becomes one of the leading tools, enabling effective solutions for optimizing maintenance and ...
AUTOMATIC PARSING TRAFFIC ACCIDENTS BASED ON MULTIMODAL DATA ANALYSIS USING ARTIFICIAL INTELLIGENCE TECHNOLOGIES
Volume 10, Issue №2, 2025
The paper proposes to automate and intellectualize the task of analyzing traffic accidents. To do this, the data presented in different modalities, which is important for analysis, is ...
DEVELOPMENT OF AN ALGORITHM FOR ENSURING LEGAL SECURITY BASED ON ARTIFICIAL INTELLIGENCE
Volume 10, Issue №1, 2025
In modern times, the security of information systems in various spheres of human activity in the world is at the key place, due to the increasing digitalization of various ...
CORONARY ARTERY STENOSIS DETECTION BASED ON DEEP LEARNING MODELS
Volume 10, Issue №1, 2025
Nowadays, cardiovascular diseases are the most common threat to human health, and coronary artery disease is a particularly serious disease. Coronary angiography is used to detect coronary artery ...
STUDY OF APPROACHES TO DETECTING MOVING OBJECTS IN NOISY IMAGES
Volume 10, Issue №1, 2025
The paper considers a neural network approach to cleaning images from the noise component in the form of rain, the use of which will improve the quality of ...
RECOGNITION AND CLASSIFICATION OF MRI IMAGES OF THE BRAIN USING THE NEURAL NETWORKS
Volume 10, Issue №1, 2025
The article presents a study devoted to the development of neural network tools for classifying magnetic resonance imaging (MRI) images. The study is devoted to solving a pressing ...
ALGORITHM FOR DECISION SUPPORT ON USING A MULTICOPTER TO ADJUST THE LOCATION OF GRAZING ANIMALS
Volume 10, Issue №1, 2025
The article presents a study in the field of precision livestock management based on the use of unmanned aerial vehicles and the Internet of Things. The study is ...
DEVELOPMENT OF AN INTELLIGENT SYSTEM FOR AUTOMATIC RESPONSE TO CUSTOMER REVIEWS ON MARKETPLACES WITH USING LLM
Volume 9, Issue №4, 2024
The article discusses an approach to the development of an intelligent system designed for automatic responses to customer reviews on marketplaces, utilizing advanced artificial intelligence technologies, ...
METHOD FOR DETERMINING FLAT-VALGUS DEFORMITY OF THE FOOT BASED ON IMAGE ANALYSIS
Volume 9, Issue №4, 2024
This article examines the problem of flat-valgus deformity of the feet and proposes a new approach to its primary diagnosis based on the analysis of images of the ...
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