Enhancing the Automatic Recognition Accuracy of Imprinted Ship Characters by Using Machine Learning

In this paper, we address the challenge of ensuring safe operations and rescue efforts in emergency situations, for the sake of a sustainable marine environment. Our focus is on character recognition, specifically on deciphering characters present on the surface of aged and corroded ships, where the...

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Veröffentlicht in:	Sustainability 2023-10, Vol.15 (19), p.14130
Hauptverfasser:	Abdulraheem, Abdulkabir, Suleiman, Jamiu T, Jung, Im Y
Format:	Artikel
Sprache:	eng
Schlagworte:	Accident investigations Accident prevention Accuracy Analysis Datasets Identification Machine learning Maritime industry Neural networks Safety and security measures Ship accidents & safety Support vector machines Sustainability
Online-Zugang:	Volltext
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