DEEP LEARNING MODEL FOR SEA STATE CLASSIFICATION USING VISUAL-RANGE SEA STATE IMAGES

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

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Main Author: UMAIR, MUHAMMAD
Format: Thesis
Language:English
Published: 2023
Subjects:
Online Access:http://utpedia.utp.edu.my/id/eprint/26974/1/Muhammad%20Umair_17008606.pdf
http://utpedia.utp.edu.my/id/eprint/26974/
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Institution: Universiti Teknologi Petronas
Language: English
id oai:utpedia.utp.edu.my:26974
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spelling oai:utpedia.utp.edu.my:269742024-05-24T13:51:16Z http://utpedia.utp.edu.my/id/eprint/26974/ DEEP LEARNING MODEL FOR SEA STATE CLASSIFICATION USING VISUAL-RANGE SEA STATE IMAGES UMAIR, MUHAMMAD T Technology (General) 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 2023-08 Thesis NonPeerReviewed text en http://utpedia.utp.edu.my/id/eprint/26974/1/Muhammad%20Umair_17008606.pdf UMAIR, MUHAMMAD (2023) DEEP LEARNING MODEL FOR SEA STATE CLASSIFICATION USING VISUAL-RANGE SEA STATE IMAGES. Doctoral thesis, Universiti Teknologi PETRONAS.
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Electronic and Digitized Intellectual Asset
url_provider http://utpedia.utp.edu.my/
language English
topic T Technology (General)
spellingShingle T Technology (General)
UMAIR, MUHAMMAD
DEEP LEARNING MODEL FOR SEA STATE CLASSIFICATION USING VISUAL-RANGE SEA STATE IMAGES
description 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
format Thesis
author UMAIR, MUHAMMAD
author_facet UMAIR, MUHAMMAD
author_sort UMAIR, MUHAMMAD
title DEEP LEARNING MODEL FOR SEA STATE CLASSIFICATION USING VISUAL-RANGE SEA STATE IMAGES
title_short DEEP LEARNING MODEL FOR SEA STATE CLASSIFICATION USING VISUAL-RANGE SEA STATE IMAGES
title_full DEEP LEARNING MODEL FOR SEA STATE CLASSIFICATION USING VISUAL-RANGE SEA STATE IMAGES
title_fullStr DEEP LEARNING MODEL FOR SEA STATE CLASSIFICATION USING VISUAL-RANGE SEA STATE IMAGES
title_full_unstemmed DEEP LEARNING MODEL FOR SEA STATE CLASSIFICATION USING VISUAL-RANGE SEA STATE IMAGES
title_sort deep learning model for sea state classification using visual-range sea state images
publishDate 2023
url http://utpedia.utp.edu.my/id/eprint/26974/1/Muhammad%20Umair_17008606.pdf
http://utpedia.utp.edu.my/id/eprint/26974/
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