Latest Communications of International Proceedings articles

Despite the considerable advancement of various technologies based on broadly defined digitalization, the phenomenon of electromobility is still a niche area, especially in terms of implementing new charging points in the human sphere. Undoubtedly, this is an area of human activity where very important decisions…

Cancer recurrence in pediatric patients after treatment represents a significant and urgent challenge to global public health, particularly in low- and middle-income countries, where health systems face structural limitations, fragmented care, and disparities in access to specialized services. These challenges are exacerbated in rural and…

Digital marketing has become a practical part of modern business strategies, allowing companies to reach wider audiences and engage with customers innovatively. Understanding customer sentiment towards products, services, and experiences is essential for effective marketing campaigns. In this line, Sentiment Analysis (SA), a task of…

As transport technologies evolve, cities expand, and traffic volumes grow, transportation systems are becoming increasingly complex. These developments create opportunities to enhance safety, but they also introduce new risks. This paper examines the combined influence of human and organizational factors (HOF) on transportation safety and…

Generative AI has revolutionized the creation of digital media, but it has also exacerbated concerns about authenticity and ownership. Digital watermarking remains a key mechanism for addressing these challenges. However, modern transformation- and diffusion-based approaches, while highly robust, incur significant computational costs that hinder their…

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…