Latest Communications of International Proceedings articles

This paper explores the efficiency of the MUSIC algorithm in the domain of electromagnetic wave propagation in urban environment. The Multiple Signal Classification (MUSIC) algorithm, widely used in direction-of-arrival estimation, is examined for its ability to address the challenges posed by multipath propagation in urban…

A large language model is a language model with massive parameters that undergoes pretraining tasks (e.g., masked language modeling and autoregressive prediction) to understand and process human language by modeling the contextualized text semantics and probabilities from large amounts of text [Y. Yao at all.…

Nowadays, the growing interest in implementation of information technology (IT) systems in road freight transport companies is observed. Managers of transport companies search for the most appropriate IT systems striving, i.e., to save time and improve companies operation, however, implementation of such systems deals with…

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…