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Application of the Singular Spectrum Analysis on electroluminescence images of thin-film photovoltaic modules
This paper discusses an application of the singular spectrum analysis method (SSA) in the context of electroluminescence (EL) images of thin-film photovoltaic (PV) modules.
Cross-Validation and Uncertainty Determination for Randomized Neural Networks with Applications to Mobile Sensors
Results are discussed about supervised learning with such networks and regression methods in terms of consistency and bounds for the generalization and prediction error.
Encoder-decoder semantic segmentation models for electroluminescence images of thin-film photovoltaic modules
We consider a series of image segmentation methods based on the deep neural networks in order to perform semantic segmentation of electroluminescence (EL) images of thin-film modules.
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