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Sponsored AI Networking Cookbook: Practical recipes for AI-assisted network automation and development AI Networking Cookbook: Practical recipes for AI-assisted network automation and development

Author

A. Melnyk

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4 papers indexed here

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Open access Sep 2026

Consent to personal data processing as a juridical fact in Ukrainian civil law: a comparative analysis of national legislation and the GDPR

The article examines the civil-law nature of consent to personal data processing in the context of the digitalisation of private relations and the approximation of Ukrainian law to European data-protection standards. The analysis proceeds from the proposition that consent is not exhausted by its formal function as a le...

A. Melnyk · 0 citations
Conference Sep 2026

Controlled Generation of Educational Content Based on Knowledge-Oriented Models

This paper proposes a method for controlled educational content generation based on knowledge-oriented models and Large Language Models (LLMs). The method involves constructing a semantic context according to a specified learning objective, identifying mandatory concepts, semantic relationships, and pedagogical constra...

A. Melnyk, Taras Soroka, Iryna Nedoshytko et al. · 0 citations
Conference Sep 2026

Intelligent Learning Environments Based on the Integrated Use of Artificial Intelligence, IoT, and Educational Data Analytics

This paper proposes an approach to the development of an intelligent learning environment based on the integrated use of Artificial Intelligence (AI), the Internet of Things (IoT), and Learning Analytics. A multi-layer architecture is developed to support the collection of heterogeneous data from Learning Management Sy...

A. Melnyk, Sergiy Nadvynychnyy, Yuriy Franko et al. · 0 citations
Conference Sep 2026

Semantic-Driven Knowledge Assessment: Ontologies and Large Language Models for Automatic Test Generation

This paper proposes a semantic-driven approach to automated knowledge assessment that integrates domain ontology modeling with the capabilities of large language models (LLMs) for generating test items with controlled difficulty. The core idea is to utilize formally structured knowledge, represented as an ontology, as...

A. Melnyk, Iurii Shcherbiak, Mariya Mudrak et al. · 0 citations

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