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Detection of Mechanical Damages in Sawn Timber Using Convolutional Neural Networks.
Nikolay Rudakov
Tuomas Eerola
Lasse Lensu
Heikki Kälviäinen
Heikki Haario
Published in:
GCPR (2018)
Keyphrases
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convolutional neural networks
object detection
detection method
detection rate
detection algorithm
false positives
false alarms
case study
detection accuracy
automatic detection
convolutional network
data sets
real world
artificial intelligence
anomaly detection
automated detection