automation

Development a Multifactorial Portrait Model of Software Complexes’ Supporting Subjects, Using Artificial Neural Networks

Impact factors, that are shaping the individualistic perception of the supported objects by the relevant subjects, who interact with them, directly or indirectly, are considered in this research. A form of impact factors’ (performing impact on the supported software complexes) representation has been studied and proposed.

Role, Problems, and Methods of Software Security Testing Automation

In the modern world, where information security becomes a key element of any organization's operations, software security testing automation is more important than ever. The success of an application directly depends on its stability, reliability, and security, which makes the proper implementation of control mechanisms critical. The increase in cyber threats and the growing complexity of software systems make this topic even more relevant.

Domestic and Foreign Experience in the Development of Management Systems of Recreation Enterprises

The article presents a comprehensive examination of domestic and international experiences in developing management systems for recreational enterprises. A thorough comparative analysis was conducted, focusing on approaches to managing recreational enterprises in Europe (with case studies from Italy, Spain, and France), the United States, and Asia (exemplified by Japan, Singapore, and South Korea). This analysis facilitated the identification of strengths, weaknesses, and both shared and distinctive features when compared to domestic practices.

ARTIFICIAL NEURAL NETWORKS IMPLEMENTATION IN MOBILE ROBOTIC PLATFORM CONTROL SYSTEM

In the era of rapid technological advancement, when robotics and intelligent systems are becoming an integral part of everyday life, the importance of developing control systems for mobile robotic platforms using artificial neural networks becomes extremely high and relevant. This field not only has significant practical needs but also holds considerable potential for innovative development. The evolution of modern robotics and computational intelligence has necessitated the creation of more efficient and adaptive mobile robotic systems.

Analysis of the Use of HS and HTS Codes in Customs Classification Systems: Challenges and Opportunities of Integration of IT Technologies

The peculiarities of the use of the harmonized system of description and coding of goods, the harmonized tariff system of codes in modern customs classification systems are analyzed. Special attention is paid to the challenges that arise when applying these codes, in particular due to the complexity of the product nomenclature, as well as the variety of product descriptions. In addition, the possibilities of integrating IT technologies, machine learning and artificial intelligence methods to automate and optimize customs classification procedures are being explored.

Analysis of Software Complexes Support Automation Impact Factors with Usage of Colored Petri Nets

Model based on colored Petri nets, and dedicated for analysis an impact factors of the software complexes support automation processes, has been developed. Model provides possibilities for simulation of the processes of impact factors analysis in the field of software complexes support automation when solving the scientific and applied task of analyzing and restoring the boundaries of impact factors in supported objects subjective perception models with encapsulated artificial neural networks of multilayer perceptron type.

Artificial Intelligence in Logistics: Opportunities and Challenges

The integration of artificial intelligence into the logistics industry is a rapidly evolving field with the potential to revolutionize the way goods are transported and managed. Artificial intelligence can be used to optimize a wide range of logistics processes, from demand forecasting and route planning to warehouse management and customer service. However, the integration of artificial intelligence also raises a number of technical and ethical issues that need to be addressed to ensure its successful implementation.

The Concept of Automated Compliance Verification as the Foundation of a Fundamental Cloud Security Model

The primary objective of this research is to develop an advanced automated method for configuring and managing public cloud accounts and subscriptions on prominent platforms such as AWS, GCP, and Azure. This method involves the application of standardized configurations to ensure optimal performance and security compliance. A significant component of this methodology is the intermittent scanning of the infrastructure of these cloud accounts and subscriptions.

DETERMINATION OF HOPPER FULLNESS OF SMART SCREW PRESS USING MACHINE LEARNING

Problem statement. This research addresses the challenge of accurately determining the fullness of the hopper within a screw press for optimal oil extraction efficiency and quality. Existing weight or volume-based measurement methods can often struggle with determining the feed hopper fullness due to variable oil weights during extraction stages, material heterogeneity, environmental influences and imprecise instrument calibration. Purpose.

Аналіз сучасних засобів автоматизації роботи з електронною документацією

Розглянуто основні засоби автоматизації роботи з електронною документацією, відзначено переваги застосування електронного документообігу в установах та орга- нізаціях. Проаналізовано сучасні програми та системи, які можуть реалізувати застосування електронного документообігу. Відзначено важливість використання автоматизо- ваних систем у туризмі.