Enhancing Precision with an Ensemble Generative Adversarial Network for Steel Surface Defect Detectors (EnsGAN-SDD).
Fityanul AkhyarElvin Nur FurqonChih-Yang LinPublished in: Sensors (2022)
Keyphrases
- surface defects
- neural network
- network model
- peer to peer
- computer networks
- distributed data management
- machine vision
- complex networks
- network structure
- fine grained
- generative model
- concurrency control
- multi class
- ensemble learning
- artificial neural networks
- random forests
- network management
- feature detectors
- training set
- training data