The article is devoted to the development of an information system for automating business processes of a modern enterprise with ensuring stability and reliability, which are implemented by the applications developed by the authors. Goal is to develop improvements to the core digitalization processes of enterprises for sustainable functioning. The authors carried out a deep analysis and described the main stages of the enterprise digitalization process: the process of document approval, business processes of personnel management, etc. The architecture of the information system, a description of business processes and the principles of reliability and fault tolerance of the system being developed have been developed. The developed desktop-client application provides connection to the information system with the help of working computers of the enterprise through a local network with access to the application server. This allows you to reduce damage from accidental or deliberate incorrect actions of users and administrators; separation of protection; a variety of means of protection; simplicity and manageability of the information system and its security system. Artykuł poświęcony jest opracowaniu systemu informatycznego do automatyzacji procesów biznesowych nowoczesnego przedsiębiorstwa z zapewnieniem stabilności i niezawodności, które są realizowane przez opracowane przez autorów aplikacje. Celem jest rozwijanie usprawnień podstawowych procesów cyfryzacji przedsiębiorstw dla zrównoważonego funkcjonowania. Autorzy przeprowadzili dogłębną analizę i opisali główne etapy procesu cyfryzacji przedsiębiorstwa: proces akceptacji dokumentów, procesy biznesowe zarządzania personelem itp. Zostały opracowane architektura systemu informatycznego, opis procesów biznesowych oraz zasady niezawodności i odporności na błędy tworzonego systemu. Opracowana aplikacja typu desktop-client zapewnia połączenie z systemem informacyjnym za pomocą pracujących komputerów przedsiębiorstwa poprzez sieć lokalną z dostępem do serwera aplikacji. Pozwala to na ograniczenie szkód wynikających z przypadkowych lub celowych nieprawidłowych działań użytkowników i administratorów; rozdzielenie ochrony; różnorodność środków ochrony; prostotę i łatwość zarządzania systemem informatycznym i jego systemu zabezpieczeń.

The production activities of oil refineries and oil and gas-producing enterprises inevitably have an anthropogenic impact on the environment, so environmental issues and the rational use of natural resources are important. The most dangerous pollutants of all components in the natural environment are oil waste, and one of the most effective methods of processing is heat treatment. The task was set to neutralize oil waste by thermal processing of oil slime to an environmentally safe level. The studies are carried out by methods of mathematical and numerical simulation of thermal processing, the results of which describe changes in temperature and mass of the stream over time. Extensive calculations with varying current operating and other parameters allow us to optimize the flow of heat and mass transfer during the thermal processing of oil slime. Numerical modeling is implemented using the method of alternating directions in an implicit iterative scheme until a convergence condition is met. The purpose of this work is to create an application for solving research and practical problems of oil waste processing. The application used allows the solution of the problems of oil slime processing. With the help of color-animated illustrations and a graphical interface, it supports the visualization of the results obtained, and provides the possibility of interactive interaction with the user, while providing instant control of the results obtained for timely decision-making to prevent environmental pollution in the industrial oil gas sector.

The article deals with the problems of increasing the efficiency of enterprises and developing a system for assessing the rating of employees of an enterprise. Aspects of motivation for compliance with standards by employees and structural divisions are also considered; they were studied because employees are the main driving force of any enterprise. In order to properly evaluate it, many companies need rating systems. In this article, the authors conducted a study and developed a software package for assessing employees of an enterprise. This article describes how to develop a ranking prediction system. MongoDB is used as a database, as the fastest way to innovate, providing the flexibility and ease of use of a database. Artykuł dotyczy problemów zwiększania efektywności przedsiębiorstw i opracowania systemu oceny pracowników przedsiębiorstwa. Uwzględniono także aspekty motywacji do przestrzegania standardów przez pracowników i działy organizacyjne; zostały one zbadane, ponieważ pracownicy są główną siłą napędową każdego przedsiębiorstwa. Aby właściwie ją ocenić, wiele firm potrzebuje systemów oceny. W tym artykule autorzy przeprowadzili badanie i opracowali pakiet oprogramowania do oceny pracowników przedsiębiorstwa. W tym artykule opisano, jak opracować system przewidywania rankingu. MongoDB jest używany jako baza danych, jako najszybszy sposób na wprowadzanie innowacji, zapewniając elastyczność i łatwość użytkowania bazy danych.

The article discusses methods for processing unstructured data using an analytical platform. The authors analyze existing methods and technologies used to implement data processing and propose new approaches to solving this problem. The possibilities of using analytical platforms to solve the problem of processing source data are considered. The purpose of the article is to explore the possibilities of data import, partial preprocessing, missing data recovery, anomaly removal, spectral processing and noise removal. The authors explored how analytics platforms can function without a data warehouse, obtaining information from any other sources, but the most optimal way is to use them together, and how big data and unstructured data can be processed using an analytics platform. The authors solved a specific problem related to processing problems and proposed ways to solve them using an analytical platform. Particular attention is paid to a complete set of mechanisms that allows you to obtain information from any data source, carry out the entire processing cycle and display the results. Overall, the paper represents an important contribution to the development of raw data processing technologies. The authors plan to continue research in the field of processing big unstructured data.

Face recognition is a key area in computer vision and artificial intelligence. With the advent of deep learning, novel methods have been developed that achieve high accuracy in this field. This study aims to enhance facial recognition accuracy by comparing two state-of-the-art algorithms – DeepFace and FaceNet – and proposing an ensemble approach that integrates their strengths. To this end, we conduct a comparative analysis of DeepFace’s deep convolutional neural network–based identification and FaceNet’s multidimensional vector embedding, then combine their output probabilities into a single ensemble model. Experimental evaluation on publicly available datasets under varying lighting conditions and head poses reveals that the ensemble consistently outperforms each individual algorithm, demonstrating superior accuracy and robustness to external factors. We conclude that this hybrid ensembling strategy significantly improves recognition performance, validating its potential for complex face matching tasks. These findings indicate that real-world applications – such as surveillance, identity verification, and biometric authentication – can benefit from adopting ensemble methods to achieve higher accuracy and resilience.