Latest Communications of International Proceedings articles

The rapid advancement of generative AI has created unprecedented challenges for the authenticity and security of digital content. Traditional watermarking methods—based on spatial, frequency, or deep learning—are proving increasingly vulnerable to contemporary attacks, including adversarial perturbations, generative model regeneration, and latent space manipulation. This paper…

Machine learning (ML) has emerged as a transformative approach for radio frequency (RF) signal source localization and emitter tracking, providing data-driven solutions that extend beyond traditional analytical models. Progress in this area is fundamentally linked to the availability of datasets that capture realistic propagation characteristics…

The simulation of acoustic and electromagnetic wave propagation is essential for understanding environmental impacts, advancing wireless communication, and optimizing architectural and sensing systems. Open-source simulators provide reproducible, accessible, and extensible platforms that can be readily integrated with machine learning (ML) frameworks. This integration enables data-driven…

The development of reliable machine learning (ML) models fundamentally depends on the availability of large, diverse, and balanced datasets. However, in practice, limited and imbalanced data pose common challenges in both scientific research and business applications. The aim of this paper is to analyse the…

In the current turbulent economic environment, innovation is considered a factor ensuring the survival of enterprises. Introducing individual innovations is insufficient; innovations should be developed continuously, and enterprises should improve their innovation activities to achieve subsequent levels of innovation maturity. To achieve this, it is…

The purpose of the article is the assessment of the current state of AI implementation in accounting.  New technologies are very important part of modern life. Their implementation has undoubtedly advantages, but on the other hand it raises many doubts. Artificial Intelligence (AI) is considered…

The aim of this study is to investigate how artificial intelligence (AI) can revolutionize strategic management and its fundamental procedures. A thorough examination of AI's advantages, difficulties, and potential effects on strategic decision-making is lacking in literature, despite the field's notable advances. By analyzing the…

This article addresses the role of stablecoins in the financial system, with particular emphasis on their potential as substitutes for bank deposits and the regulatory implications of this function. The theoretical part presents a classification of crypto-assets, discusses the relationship between stablecoins and electronic money,…

This paper provides a comprehensive overview of current trends and persistent challenges related to the development of assistive technologies for people with visual impairments. The analysis focuses on the role of these technologies in increasing independence, digital accessibility and social participation. The motivation for addressing…

The rapid advancement of generative artificial intelligence is transforming the ways in which organizations create, manage, and disseminate knowledge. While previous research has explored the general implications of AI-driven systems in knowledge management (KM), a clear gap remains regarding the enterprise-specific impact of ChatGPT Enterprise,…