Information Technology and Cybersecurity

Human age estimation from a photo using neural networks Yevhenii Verbenko ORCID: https://orcid.org/0009-0001-8438-4990 Oles Honchar Dnipro National University Olga Matsuga ORCID: https://orcid.org/0000-0001-6444-8566 Oles Honchar Dnipro National University The aim of this work was to compare different neural network architectures for the task of age estimation from face images. Since age is a continuous variable, the task of determining a human age from images of their face is treated as a regression problem. The UTKFaces dataset was used in this work. …

Application of deep learning models for image denoising Maksym Havrylenko ORCID: https://orcid.org/0009-0000-4339-0254 Oles Honchar Dnipro National University Olga Matsuga ORCID: https://orcid.org/0000-0001-6444-8566 Oles Honchar Dnipro National University This paper addresses the issue of image denoising using neural networks. Experimental results of training and testing neural network models on images with artificially added noise are presented. In today’s digital world, image quality plays an important role in various fields, including medicine, science, entertainment, and communication. Noise caused by imperfect equipment, problems in …

Research and integration of SVM algorithm in information and measurement technologies for choosing the profession of doctor Oleksii Izmalkov ORCID: https://orcid.org/0009-0005-3732-7474 Oles Honchar Dnipro National University This study defines the application of advanced information and measurement technologies in psychophysical analysis to improve the career selection process for medical professions. Traditional career guidance methods often rely on subjective assessments, which can lead to incorrect career choices, decreased job satisfaction, and increased burnout levels. This study aims to address these issues by …

Study of autocorrelated samples of random variables Oleksii Fedorenko ORCID: https://orcid.org/0009-0008-6385-3584 Oles Honchar Dnipro National University Mathematical statistics is a branch of mathematics that deals with the collection, analysis, interpretation and presentation of data. It provides theoretical foundations and methods for conducting statistical studies that are used in various fields of science and technology. The role of mathematical statistics in the modern world is enormous. It allows researchers to draw conclusions from data, build predictive models, and make informed decisions …

Cartographic component in e-commerce Anna Selivanova ORCID: https://orcid.org/0000-0001-6559-1508 State University of Trade and Economics Hanna Samoilenko ORCID: https://orcid.org/0000-0002-9374-2833 State University of Trade and Economics In the modern business environment, where competition is constantly increasing, effective business process management becomes critically important for achieving success. To meet market demands and respond to changes quickly and efficiently, enterprises need advanced tools for analyzing, visualizing, and optimizing their business processes. The research materials explore the significance and benefits of using cartographic components in …

Development of software for applied statistical analysis of random variables Oleksii Klymenko ORCID: https://orcid.org/0009-0009-5164-1688 Oles Honchar Dnipro National University Classical applied mathematical statistics is a branch of mathematical science that deals with the development and application of mathematical methods and models for the collection, analysis, interpretation and presentation of empirical data. It includes a wide range of methods used to study patterns in data, estimate distribution parameters, test hypotheses, and make predictions. Classical applied mathematical statistics is used in various …