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Conference object . 2026
License: CC BY
Data sources: ZENODO
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Conference object . 2026
License: CC BY
Data sources: Datacite
ZENODO
Conference object . 2026
License: CC BY
Data sources: Datacite
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Proceedings of 2nd InnovAIte Conference: AI Synergy: Connecting Research, Industry, and Regional Innovation

Authors: InnovAIte Slovakia;

Proceedings of 2nd InnovAIte Conference: AI Synergy: Connecting Research, Industry, and Regional Innovation

Abstract

Proceedings of the 2nd InnovAIte Conference titled "AI Synergy: Connecting Research, Industry, and Regional Innovation," held on 29th April 2026 in Žilina, Slovakia. The volume contains 23 peer-reviewed contributions covering a wide range of AI-related topics including smart energy metering, computer vision, synthetic data generation, digital twins, medical imaging, software engineering, and public safety. Several contributions address the use of synthetic datasets for training AI models in domains such as autonomous driving, waste sorting, and soft target protection. The proceedings also feature work on UML diagram extraction, federated data services for EOSC, and semantic similarity methods for the Slovak language. All papers were reviewed by an international programme committee of 15 reviewers. 

Keywords

Synthetic Data, Digital Twin, Artificial Intelligence, Computer vision

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average