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 ...
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 ...
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 ...
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 ...
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 ...
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) ...
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, ...
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 ...
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 ...
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 ...
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 ...
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 ...
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 ...
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. ...
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 ...
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 ...
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 ...
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 ...
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 ...
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 ...
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Research result. Information technologies is included in the scientific database of the RINTs (license agreement No. 765-12/2014 dated 08.12.2014).
Журнал включен в перечень рецензируемых научных изданий, рекомендуемых ВАК