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Titlebook: Intelligent Systems; 12th Brazilian Confe Murilo C. Naldi,Reinaldo A. C. Bianchi Conference proceedings 2023 The Editor(s) (if applicable)

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Convolutional Neural Networks for the Molecular Detection of COVID-19of the spectrum sample. The predictive performance of the CNN was compared against several other algorithms widely adopted in the literature. The CNN architecture discriminates COVID-19 with Raman spectroscopy of blood samples with 96.8% accuracy, 95.5% sensitivity, and 98.2% of specificity, represe
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Enhancing Stock Market Predictions Through the Integration of Convolutional and Recursive LSTM Blockotable improvement in prediction accuracy (MAPE reduction of 2.22%), strongly suggesting that pre-processing data via Convolutional Neural Networks (CNN) benefits LSTM blocks and can enhance the performance of stock market prediction methodologies.
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Conference proceedings 2023p learning applications; reinforcement learning and GAN; classification; machine learning analysis;.Part III: Evolutionary algorithms; optimization strategies; computer vision; language and models; graph neural networks; pattern recognition; AI applications. .
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