Photovoltaic Cell Defect Detection Based on Weakly Supervised Learning With Module-Level Annotations
Recently, convolutional neural networks (CNNs) have proven successful in automating the detection of defective photovoltaic (PV) cells within PV modules. Existing studies have built a CNN based on ...
Abstract: With the development of high-throughput technologies, a massive scale of pharmacological and genomic data has been accumulated, which enables the discovery of the correlation between ...
The FPU is a parametric design that allows generating FP hardware units for various use cases. Even though mainly designed for use in RISC-V processors, the FPU or its sub-blocks can easily be ...
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