The object of the research is decision support systems. The subject of the research is the decision-making process in management problems using the locust swarm algorithm and evolving artificial neural networks. A solution ...

The object of the study is complex dynamic objects with a hierarchical structure. The problem solved in the study is to increase the efficiency of decision-making while ensuring the given reliability. The subject of the ...

The contemporary global economic system involves a dynamic interplay between globalization and national interests, with market integration and regulatory frameworks playing a crucial role. The significance of this ...

This work aims to develop approximate depth estimation methods for three-dimensional computer vision in unmanned vehicles (UVs) based on a developed wavelet transformation-based optimization method. This method can assess ...

The paper considers the creation of intelligent information technology (IT) for multi-criteria vulnerability assessment of gas stations (GSs) to the main types of accidents. The proposed IT consists of 10 consecutive stages. ...

Over recent years, bioinspired swarm techniques have gained significant popularity for addressing realworld engineering optimization challenges. One promising application of these methods is developing and optimizing of ...

The paper describes the problems of analyzing and processing large volumes of heterogeneous texts in natural language in the task of identifying bots in social networks based on deep transfer learning methods, in particular ...

This article is dediced to tools for women's small businesses development in the post-war period of Ukraine in atypical industries for women. The authors suggest using new approaches to the design of women's small businesses ...

This article focuses on the visual narratives of Ukrainian war-themed video games, analysing how they depict the Russia-Ukraine war and contribute to the national narrative of resistance and resilience. Using cultural, ...

One of the promising directions for improv-ing the quality of object recognition in images and parallelizing calculations is the use of ensemble classifiers with stacking. A neural network at the second level makes it ...