Abstract: This study explores the application of supervised and unsupervised autoencoders (AEs) to automate nuclei classification in clear cell renal cell carcinoma (ccRCC) images, a critical ...
Abstract: Renewable energy systems that depend on photovoltaic energy are crucial in the shift towards sustainable energy. Detecting faults in photovoltaic components is highly valued. However, most ...
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