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Translation, understood in its broadest sense, constitutes an essential tool for overcoming linguistic and communicative barriers in diverse social, cultural, and academic contexts. In recent decades, the development and...

This paper analyzes the statistical toolkit of Eurostat for collecting and processing data on the implementation of Artificial Intelligence (AI) in enterprises across European Union (EU) countries. The study defines the ...

IntroductionArtificial intelligence (AI) is increasingly embedded in journalism, yet audience responses may depend on both AI provenance, meaning who or what is presented as having written the story, and transparency cue...

Sixth-generation (6G) mobile networks are expected to be AI-native by design, with intelligence embedded directly into the Radio Access Network (RAN) control loop through architectures such as O-RAN, near-real-time RAN I...

The purpose of the presented study is to develop a comprehensive research methodology for evaluating the readiness of young professionals in Latvia to work within AI-enhanced human resource (HR) environments. As artifici...

As artificial intelligence (AI) becomes embedded in higher education operations, AI literacy is increasingly positioned as a meta-skill enabling institutional innovation; however, its contribution to academic management ...

Various traditions have investigated the relationship between emotion and language. For the basic emotions view, emotional prototypes are lexically sedimented in language, evidenced in cultural convergence in emotional r...

The Indonesian Sign Language System (SIBI) is the officially recognized communication medium for deaf communities in Indonesia, yet its limited public use continues to create barriers in education, healthcare, and public...

Identifying skills for the future of work and how assessment design and implementation can help support the building of these skills are necessary to support learners in this era of technological disruption. The accelera...

Abstract This paper seeks to investigate the use of Natural Language Processing techniques in analyzing the Bhagavad Gita, a fundamental text in Hindu philosophy that has stood the test of time and centuries of interpret...

Abstract Thermal stress in electric two-wheeler hub motors is a major bottleneck affecting drivetrain reliability, safety, and efficiency—especially under varied terrain, aggressive riding profiles, and sensor reliabil...

The paper investigates the technological drivers of the transformation of the market positioning of Ukrainian banks under conditions of rapid digitalization of the economy and the development of fintech ecosystems. It el...

Information Retrieval Systems normally deal with keywordbased technologies. Although those systems reach satisfactory results, they aren’t able to answer more complex queries done by users, especially those directly in...

The paper analyses and compares alternative iterative and recursive implementations of N-ary search algorithms in hardware (in field programmable gate arrays, in particular). The improvements over the previous results ha...

In recent years, large language models and agent systems based on them have been considered a promising tool for the digital transformation of public administration. However, the practical effectiveness of such systems i...

Attributable to the complex distribution of tactile vesicles under the skin and the ability of the brain to process specific tactile parameters (shape, hardness, and surface texture), human skin can have the capacity for...

Small sample sizes in preclinical research limit the extraction of reliable knowledge and hinder translational progress. We propose genESOM, a generative artificial intelligence method based on emergent self‑organizing...

Grounded in the need to modernize science education and promote learner-centred approaches, this study examined the effectiveness of integrating context-based 7E instructional strategies, rooted in constructivist learnin...

IntroductionReliable classification of lung nodules from computed tomography (CT) images remains a challenging problem due to variations in image intensity, noise, and unstable feature representations during deep network...

The growing number of control models based on combinations of neural networks, fuzzy systems and evolutionary algorithms shows that they represent a flexible and powerful approach. However, most of these models assume th...

Evolutionary algorithms (EAs) are merely blind search algorithms, which only make use of the relative fitness of solutions, but completely ignore the nature of the problem. Their performance can be improved by using new ...

The design of intelligent agents is greatly influenced by the many different models that exist to represent knowledge. It is essential that such agents have computationally adequate mechanisms to manage its knowledge, wh...