**Abstract:** This paper introduces a novel deep learning framework for proactive detection of marine hull corrosion in autonomous vessel remote inspection (AVRI) using high-resolution ultrasonic data. Existing visual inspection methods are subjective and often miss early signs of corrosion. We propose a Convolutional Neural Network (CNN) architecture combined with a Recurrent Neural Network (RNN) for […]

The post ## Deep Learning-Based Anomaly Detection for Marine Hull Corrosion Prediction in Autonomous Vessel Remote Inspection first appeared on freederia.com.

Similar Posts

Loading similar posts...

Keyboard Shortcuts

Navigation
Next / previous item
j/k
Open post
oorEnter
Preview post
v
Post Actions
Love post
a
Like post
l
Dislike post
d
Undo reaction
u
Recommendations
Add interest / feed
Enter
Not interested
x
Go to
Home
gh
Interests
gi
Feeds
gf
Likes
gl
History
gy
Changelog
gc
Settings
gs
Browse
gb
Search
/
General
Show this help
?
Submit feedback
!
Close modal / unfocus
Esc

Press ? anytime to show this help