Comprehensive Large Language Model for Bathymetry Data
Only 5% of the world's oceans have been explored, leaving the rest unexplored. Many incidents have been reported surrounding the mystery of random disappearances and intriguing flora and fauna found in these unexplored places. More than 80% of the oceans have not been mapped, so tracking becomes an uphill task. Existing work has been done to find a solution to tackle this rising issue. As Generative Artificial Intelligence(AI) is at the forefront of the race regarding advanced technology, projects have been taken up to leverage AI's capabilities to solve this issue. This paper proposes a framework that handles bathymetric data and harnesses it to empower ocean tracking advancements by incorporating large language models(LLMs).
Authors
- S Deepa
- M Vinay
- J. Jayapriya (ORCID: https://orcid.org/0000-0002-2506-1542)
- Marina TS
- Tessa S Mampilly
Institutions
- Christ University (IN)
Publication Details
- Published
- 2024-12-12
- DOI
- https://doi.org/10.1109/icuis64676.2024.10867116
- Primary Topic
- Geographic Information Systems Studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00