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Development of a Model to Identify Oil Spills Using Supervised Deep Learning for Semantic Segmentation Using DeepLabV3-MobileNetV3 Cover

Development of a Model to Identify Oil Spills Using Supervised Deep Learning for Semantic Segmentation Using DeepLabV3-MobileNetV3

Open Access
|May 2026

Authors

Hoang Dat Do

Institute of Engineering, HUTECH University, Ho Chi Minh City, Viet Nam

Thanh Hai Truong

Institute of Maritime, Ho Chi Minh City University of Transport, Ho Chi Minh City, Viet Nam

Van Ngo Pham

ngotinphuc@gmail.com

Graduate Institute, Ho Chi Minh City University of Transport, Ho Chi Minh City, Viet Nam

Lech Rowiński

Institute of Naval Architecture, Gdansk University of Technology, Gdansk, Poland

Rahmat Hidayat

Departement of Information Technology, Politeknik Negeri Padang, Indonesia

Thanh Hai Nguyen

Energy-Fuel Technology and Applied Material Research Group, Dong Nai Technology University, Dong Nai, Viet Nam
Institute of Research and Application of Technology and Science, Dong Nai Technology University, Dong Nai, Viet Nam

Nghia Chung

huucuong.legtvt65@gmail.com

Institute of Maritime, Ho Chi Minh City University of Transport, Ho Chi Minh City, Viet Nam
DOI: https://doi.org/10.2478/pomr-2026-0027 | Journal eISSN: 2083-7429 | Journal ISSN: 1233-2585
Language: English
Page range: 134 - 144
Published on: May 6, 2026
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2026 Hoang Dat Do, Thanh Hai Truong, Van Ngo Pham, Lech Rowiński, Rahmat Hidayat, Thanh Hai Nguyen, Nghia Chung, published by Gdansk University of Technology
This work is licensed under the Creative Commons Attribution 4.0 License.