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A Hybrid Prompt Agent for Maritime AIS Data Analysis: Performance Optimization through Query Classification and Dynamic Routing

Year: 2026

Type: article

Source: Journal of Korean Institute of Industrial Engineers

DOI: 10.7232/jkiie.2026.52.2.163

Authors: Seongjin Kim, Sungil Kim

Language: English

Topic: Topic Modeling

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

Funders: National Research Foundation of Korea, Ministry of Science and ICT, South Korea

Award: G2473389590

OpenAlex ID: W7156304420

FWCI:

Cites: 13

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