Deep learning has been successfully applied in the field of medical diagnosis, and improving the accurate classification of ...

The proposed CNN-based system demonstrates the feasibility and robustness of deep learning for automatic lung nodule detection and classification. Despite strong results, the study acknowledges ...

AI enhances leukemia diagnosis by automating image analysis, reducing subjectivity, and accelerating processes, especially in low-resource settings. Convolutional neural networks outperform ...

An international research team has developed a novel PV fault detection method based on deep learning of aerial images. The proposed methodology utilizes the convolutional neural network (CNN) ...

IC manufacturers are increasingly relying on intelligent data processing to prevent downtime, improve yields, and reduce scrap. They are integrating that with fault detection and classification (FDC) ...

This study presents a deep learning model for breast cancer detection, achieving 99.24% accuracy and improving clinical ...

The paper, titled “Artificial Intelligence for Detecting Electoral Disinformation on Social Media: Models, Datasets, and ...