Defect detection of solar cells based on deep convolutional generative adversarial networks

Xinyu Liu; Song Jiang; Maopu Wu; Weiqiang Xing

doi:10.1109/cvidl62147.2024.10603543

ScienceGate Book Chapters

JOURNAL ARTICLE

Defect detection of solar cells based on deep convolutional generative adversarial networks

Xinyu Liu Song Jiang Maopu Wu Weiqiang Xing

Year: 2024 Vol: 2011 Pages: 1502-1506

DOI: 10.1109/cvidl62147.2024.10603543

Get Full-Text PDF Get Analytical Report

Keywords:

Adversarial system Computer science Generative grammar Generative adversarial network Artificial intelligence Deep learning Convolutional neural network

Metrics

Cited By

0.00

FWCI (Field Weighted Citation Impact)

Refs

0.16

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Topics

Industrial Vision Systems and Defect Detection

Physical Sciences → Engineering → Industrial and Manufacturing Engineering

Silicon and Solar Cell Technologies

Physical Sciences → Engineering → Electrical and Electronic Engineering

Integrated Circuits and Semiconductor Failure Analysis

Physical Sciences → Engineering → Electrical and Electronic Engineering

Defect detection of solar cells based on deep convolutional generative adversarial networks

Metrics

Topics

Related Documents

Unsupervised fabric defect detection based on a deep convolutional generative adversarial network

Deep Convolutional Generative Adversarial Networks in Image-Based Android Malware Detection

Enhanced Conditions Based Deep Convolutional Generative Adversarial Networks

Defect Detection with Generative Adversarial Networks for Electroluminescence Images of Solar Cells

Deep Convolutional Generative Adversarial Networks (DCGANs)