РОЗРОБЛЕННЯ СИСТЕМИ МУЛЬТИМОДАЛЬНОГО РОЗПІЗНАВАННЯ ТА КЛАСИФІКАЦІЇ ЦІЛЕЙ НА ОСНОВІ ШТУЧНОГО ІНТЕЛЕКТУ

Peter Nikolyuk; Veronika Sapozhnikova; Vladyslav Chemes; Peter Nikolyuk; Veronika Sapozhnikova; Vladyslav Chemes

doi:10.30888/2663-5712.2025-34-01-113

DEVELOPMENT OF A MULTIMODAL RECOGNITION SYSTEM AND TARGET CLASSIFICATION BASED ON ARTIFICIAL INTELLIGENCE

Authors

Peter Nikolyuk Vasil Stus Donetsk national university https://orcid.org/0000-0002-0286-297X
Veronika Sapozhnikova Vasil Stus Donetsk national university
Vladyslav Chemes Vasil Stus Donetsk national university

DOI:

https://doi.org/10.30888/2663-5712.2025-34-01-113

Keywords:

multimodal recognition, target classification, artificial intelligence, RGB-T data, deep learning, edge-aware learning, semantic segmentation.

Abstract

The study addresses the problem of developing a multimodal system for target recognition and classification based on artificial intelligence. The relevance of the topic stems from the need to improve the reliability of automatic object detection under co

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Published

2025-11-30

How to Cite

Ніколюк, П., Сапожнікова, В., & Чемес, В. (2025). DEVELOPMENT OF A MULTIMODAL RECOGNITION SYSTEM AND TARGET CLASSIFICATION BASED ON ARTIFICIAL INTELLIGENCE. SWorldJournal, 1(34-01), 191–209. https://doi.org/10.30888/2663-5712.2025-34-01-113