ARTIFICIAL INTELLIGENCE AND DECISION MAKING
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 ...
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 ...
FORMATION OF AN ENSEMBLE OF MODELS FOR RECOGNIZING OBJECTS IN RADIOGRAPHIC IMAGES BASED ON INFORMATION THEORY
Volume 9, Issue №4, 2024
The paper considers the main functional approaches to the construction of image processing schemes for various spectral ranges, energies and scales. Their effectiveness is estimated from the point ...
INTEGRATING FEDERATED LEARNING AND YOLOV11 FOR OBJECT DETECTION IN AUTONOMOUS VEHICLES
Volume 9, Issue №4, 2024
Autonomous vehicles (AVs) require high-performance systems for environmental perception, especially for accurate object detection. Systems based on deep neural networks perform well, but often face challenges ...
OPTIMIZATION OF THE VOLUME OF TECHNICAL MEANS OF MACHINE LEARNING OF THE INFORMATION PROTECTION SYSTEM OF KEY SYSTEMS OF INFORMATION INFRASTRUCTURE
Volume 9, Issue №4, 2024
The purpose of this article is to consider the information activities of information security systems of information infrastructures of government agencies processing personal data in order to determine ...
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, ...
APPLICATION OF RECURRENT NEURAL NETWORK MODELS FOR GENERATING TEXT DATA OF SPECIFICATIONS OF ASSEMBLY DRAWINGS
Volume 9, Issue №4, 2024
The article explores the capabilities of various models of recurrent neural networks in text data generation. Specifically, classic recurrent network (RNN), long short-term memory network (LSTM) ...
COMPARISON OF THE STRUCTURE, EFFICIENCY, AND SPEED OF OPERATION OF FEEDFORWARD, CONVOLUTIONAL, AND RECURRENT NEURAL NETWORKS
Volume 9, Issue №4, 2024
This article examines the efficiency of fully connected, recurrent, and convolutional neural networks in the context of developing a simple model for weather forecasting. The architectures ...
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 ...
A METHOD FOR TRAINING AN INTELLIGENT AGENT USING DOUBLE DQN NETWORKS, WAYPOINTS AND REWARD FUNCTION
Volume 9, Issue №3, 2024
The problems of increasing the control efficiency of autonomous vehicles are considered. The problem of reducing the required computational resources for the intelligent vehicle control module is highlighted. ...
APPROACH TO VECTORIZATION OF DRAWINGS OF DESIGN DOCUMENTATION ON PAPER
Volume 9, Issue №3, 2024
The work proposes a solution to the problem of vectorization and machine interpretation of drawings of design documentation on paper, which provides the ability to automate the transfer ...
ABOUT THE USE OF MACHINE LEARNING IN MODELING BUSINESS PROCESSES
Volume 9, Issue №2, 2024
In a highly competitive environment, as well as the activation of the domestic production market, enterprises need to quickly adapt to modern conditions. There is an obvious increase ...
COMPARATIVE ANALYSIS OF DEEP LEARNING ALGORITHMS WITH REINFORCEMENT DDPG, PPO AND SAC FOR UNMANNED CAR CONTROL IN CARLA SIMULATOR
Volume 9, Issue №2, 2024
This paper presents a comparative analysis of three advanced deep reinforcement learning algorithms: Deep Deterministic Policy Gradient (DDPG), Proximal Policy Optimization (PPO) and Soft Actor-Critic (SAC) implemented in ...
APPLICATION OF MODERN DATA COLLECTION TECHNOLOGIES AND MACHINE LEARNING METHODS FOR FACE RECOGNITION
Volume 9, Issue №1, 2024
The article presents a comprehensive approach to the development and optimization of a neural network model for effective face recognition in a dynamic environment. In particular, the neural ...
IMAGE SEGMENTATION FOR THE TASK OF DIAGNOSING FLAT-VALGUS DEFORMITY OF THE FEET
Volume 9, Issue №1, 2024
Flat-valgus deformity of the foot is a common condition that can lead to various health problems such as pain syndromes and curvature of the spine. For effective diagnosis ...
COMPARISON OF THE EFFICIENCY OF MACHINE LEARNING ALGORITHMS BY THE EXAMPLE OF FORECASTING THE AVERAGE ELECTRICITY CONSUMPTION OF INTEGRATED CONSUMER METERING DEVICES
Volume 9, Issue №1, 2024
Finding and reducing electricity losses is one of the key activities of network organizations to improve financial results. Forecasting based on a large number of criteria ...
THE USE OF GENERATIVE-ADVERSARIAL NEURAL NETWORKS FOR IMAGE GENERATION
Volume 9, Issue №1, 2024
This article discusses the topic of image generation using neural networks. Thanks to the development of deeper learning and artificial intelligence, neural networks have become a powerful tool ...
SYSTEM-OBJECT CLASSIFICATION ANALYSIS OF THE SUBJECT DOMAIN
Volume 8, Issue №4, 2023
The article discusses the urgent task of improving the classification procedure in connection with its numerous shortcomings. To solve the problem, a systemic (system-object) approach to the procedure for ...
INFORMATION AND ANALYTICAL TECHNOLOGY OF THE FUTURE - INTERNET OF THINGS (IOT)
Volume 8, Issue №4, 2023
The work provides a brief overview of promising areas for using Internet of Things (IoT) technology. The author provides a brief analysis of the dynamics of the technology market, ...
DEVELOPMENT OF MACHINE LEARNING METHODS AND A LIBRARY OF INTERPRETABLE PREDICTIVE MODELING OF HUMAN BEHAVIOR DURING HIS ONLINE PROFILING
Volume 8, Issue №4, 2023
The study of individual psychological characteristics of people is important in the areas of education, management and administration, ensuring the safety of individuals and communities. There are various tools ...
