A small-sample faulty line detection method based on generative adversarial networks

• A faulty line detection method based on a lightweight depth separable convolution. • A data augmentation method based on a generative adversarial networks. • The proposed method has high accuracy of faulty line detection on small samples. • The effectiveness of the proposed method is verified by s...
Ausführliche Beschreibung

Gespeichert in:
Autor*in:

Zhang, Le [verfasserIn]

Wei, Hua

Lyu, Zhongliang

Wei, Hongbo

Li, Peijie

Format:

E-Artikel

Sprache:

Englisch

Erschienen:

2021

Schlagwörter:

Depthwise separable convolutional networks (DSCNs)

Generative adversarial network with Wasserstein distance (WGAN)

Small current grounded system (SCGS)

Faulty line detection

Small sample

Übergeordnetes Werk:

Enthalten in: Do denture processing techniques affect the mechanical properties of denture teeth? - Clements, Jody L. ELSEVIER, 2017, an international journal, Amsterdam [u.a.]

Übergeordnetes Werk:

volume:169 ; year:2021 ; day:1 ; month:05 ; pages:0

Links:

Volltext

DOI / URN:

10.1016/j.eswa.2020.114378

Katalog-ID:

ELV053046390

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