Automatic classification of defective photovoltaic module cells in electroluminescence images
Friedrich-Alexander-Universität Erlangen-Nürnberg · Nuremberg Hospital · +1 more institution
Indexed inarxivcrossref
Abstract
No abstract available for this paper.
Citation impact
512
total citations
- FWCI
- 41.75
- Percentile
- 100%
- References
- 104
Citations per year
Authors
7- SDSergiu DeitschCorresponding
Friedrich-Alexander-Universität Erlangen-Nürnberg, Nuremberg Hospital
- VCVincent Christlein
Friedrich-Alexander-Universität Erlangen-Nürnberg
- SBStephan Berger
Bavarian Center for Applied Energy Research
- CBClaudia Buerhop‐Lutz
Bavarian Center for Applied Energy Research
- AMAndreas Maier
Friedrich-Alexander-Universität Erlangen-Nürnberg
Topics & keywords
Topics
Keywords
- Computer science
- Photovoltaic system
- Support vector machine
- Artificial intelligence
- Process (computing)
- Convolutional neural network
- Computer hardware
- Graphics
UN Sustainable Development Goals
- Affordable and clean energy
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