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Królczyk, G.
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Królczyk, G.
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Królczyk, G.
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1
A novel approach for surface defect detection of lithium battery based on improved K-nearest neighbor and Euclidean clustering segmentation
by
Andriukaitis, D.
,
Guo, X.
,
Królczyk
,
G
.
,
Li, Z.
,
Liu, X.
,
Wu, L.
Published 2023
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2
Damage Detection for Conveyor Belt Surface Based on Conditional Cycle Generative Adversarial Network
by
Gardoni, P.
,
Glowacz, A.
,
Guo, X.
,
Królczyk
,
G
.
,
Li, Z.
,
Liu, X.
,
Sulowicz, M.
Published 2022
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Related Subjects
Learning algorithms
Belt conveyors
Clustering segmentation
Coal-mining
Computer vision
Conditional cyclegan
Conveyor belts
Damage detection
Data mining
Deep learning
Defect detection
Detection approach
Euclidean
Foreign bodies
Generative adversarial networks
Image enhancement
Image fusion
Images processing
Incremental image fusion
Intelligent defect detection
Intelligent defect detections
Least squares approximations
Lithium batteries
Lithium battery
Machine learning
Machine-learning
Motion compensation
Natural language processing systems
Nearest neighbor search
Nearest-neighbour
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