Deep learning-based underwater metal object detection using input image data and corrosion protection of mild steel used in underwater study: A case study: Part A: Deep learning-based underwater metal object detection using input image data

Due to the importance of underwater exploration in the development and utilization of deep-sea resources, underwater autonomous operation is more and more important to avoid the dangerous high-pressure deep-sea environment. For underwater autonomous operation, intelligent computer vision is the most...

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Bibliographic Details

Published in:	Zaštita Materijala
Main Authors:	Thankappan Sasilatha, Doss Hebciba Mary Suvakeen Amala, Rajendran Susai Santhammal, Časlav Lačnjevac, Gurmeet Singh
Format:	Article
Language:	English
Published:	Engineering Society for Corrosion, Belgrade 2022-03-01
Subjects:	input image data convolutional neural network (cnn) fuzzy c-means clustering and turbid dataset polarization study ac impedance spectra sea water
Online Access:	https://www.zastita-materijala.org/index.php/home/article/view/186