ARTIFICIAL INTELLIGENCE AND DECISION MAKING
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 ...
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 ...
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 ...
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 ...
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 ...
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 ...
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 ...
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 ...
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, ...
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 ...
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) ...
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 ...
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 ...
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 ...
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 ...
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