Abstract: To address the issues of high miss and false detection rates in defect detection of PV (photovoltaic) module visible light images under imbalanced data conditions, an improved data ...

Abstract: This article investigates a multi-class semantic segmentation model for correlating defects in electroluminescence (EL) images and PV module power degradation in fielded modules. The case ...

Researchers in China have developed a novel deep learning model to detect defects in photovoltaic panels. The approach leverages high-resolution visible light imaging to identify defects using an ...

The final, formatted version of the article will be published soon. To address the challenges of missed detection and false detection of bird droppings and dust defects caused by data imbalance during ...

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The Nature Index 2025 Research Leaders — previously known as Annual Tables — reveal the leading institutions and countries/territories in the natural and health sciences, according to their output in ...

This package provides tools to adapt surface code patches to the presence of non-operational qubits and gates. Based on a list of defective components, the code will ...

As the mobility industry in North America grows, the necessity for battery cell leak testing is often underappreciated or not widely disseminated within organizations. Whether testing a cell, a module ...

Next-generation technologies have shown surprising levels of degradation, requiring careful testing at the cell level. Image: UNSW. Degradation issues identified in new cell technologies such as ...