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Cyber-Physical Systems Virtual Organization
Read-only archive of site from September 29, 2023.
CPS-VO
trainable parameter count
biblio
Hunting for Naval Mines with Deep Neural Networks
Submitted by grigby1 on Wed, 04/11/2018 - 2:49pm
sonar imaging
modest DNN model
naval engineering computing
neural nets
privacy
pubcrawl
remotely operated vehicles
robot vision
sea faring vessels
side-scan sonar imagery
Sonar
minelike objects
support vector machine
Support vector machines
threat vectors
Throughput
trainable parameter count
Training
Training data
Underwater vehicles
visualization technique
Weapons
DNN depth
autonomous unmanned underwater vehicle
Brain modeling
calculation requirements
computation requirements
Computational modeling
data distribution training
Data models
deep neural network methods
deep neural networks
detection efficacy
autonomous underwater vehicles
DNN models
explosive naval mines
explosives
feature extraction
image recognition
image recognition tasks
learning (artificial intelligence)
memory requirements
Metrics
