Research and Application of a Multi-Agent-Based Intelligent Mine Gas State Decision-Making System
To address the issues of low efficiency in manual processing and lack of accuracy in judgment within traditional mine gas safety inspections, this paper designs and implements the Intelligent Mine Gas State Decision-Making System based on large language models (LLMs) and a multi-agent system. The sy...
Saved in:
| Main Authors: | Yi Sun, Xinke Liu |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-01-01
|
| Series: | Applied Sciences |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2076-3417/15/2/968 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Leveraging Retrieval-Augmented Generation for Automated Smart Home Orchestration
by: Negin Jahanbakhsh, et al.
Published: (2025-04-01) -
Enhancing geodatabases operability: advanced human-computer interaction through RAG and Multi-Agent Systems
by: Ziming Peng, et al.
Published: (2025-04-01) -
Empowering knowledge graphs with hybrid retrieval-augmented generation for the intelligent mix scheme of mass concrete
by: Yuqing Shang, et al.
Published: (2025-12-01) -
PlantGPT: An Arabidopsis‐Based Intelligent Agent that Answers Questions about Plant Functional Genomics
by: Ruixiang Zhang, et al.
Published: (2025-08-01) -
SheepDoctor: A knowledge graph enhanced large language model for sheep disease diagnosis
by: Jiayi Xiong, et al.
Published: (2025-08-01)