UTPediaUMAIR, MUHAMMAD (2023) DEEP LEARNING MODEL FOR SEA STATE CLASSIFICATION USING VISUAL-RANGE SEA STATE IMAGES. Doctoral thesis, Universiti Teknologi PETRONAS.
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Abstract
Wind-waves exhibit variations both in shape and steepness. Their complex, asymmetrical nature constitutes a sea state. A sea state can be divided into 13 classes. Its classification plays an important role in maritime operational safety
| Item Type: | Thesis (Doctoral) |
|---|---|
| Subjects: | T Technology > T Technology (General) |
| Departments / MOR / COE: | Sciences and Information Technology > Computer and Information Sciences |
| Depositing User: | Mr Ahmad Suhairi Mohamed Lazim |
| Date Deposited: | 24 May 2024 13:51 |
| Last Modified: | 24 May 2024 13:51 |
| URI: | http://utpedia.utp.edu.my/id/eprint/26974 |
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