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Data to Objects with Highly Uncertain Behavior

Year: 2024

Type: conference-paper

Source: International Russian Automation Conference (RusAutoCon)

DOI: 10.1109/rusautocon61949.2024.10693969

Authors: Iuliia Golovko, Sergei Golovko, Nikolai Romanenko

Institutions: Astrakhan Tatischev State University, Astrakhan State Technical University

Language: English

Topic: Diverse Interdisciplinary Research Studies

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

OpenAlex ID: W4403126031

FWCI:

Cites: 5

Cited by:

Related to: 10