Treasury Secretary Scott Bessent said Monday he believes the Federal Reserve system should be reviewed for potentially ...

This study proposes a rolling bearing fault diagnosis model called CNN-BiLSTM-SE, which integrates Convolutional Neural Networks (CNN), Bidirectional Long Short-Term Memory Networks (BiLSTM), and ...

Advanced Persistent Threat (APT) is a highly targeted, complex, and long-term attack targeting specific organizations or individuals, aimed at stealing sensitive data or disrupting operations. APT is ...

We perform extensive experiments on standard structural picture datasets to showcase the efficacy of our suggested methodology. The findings demonstrate that our hybrid CNN-GNN model surpasses current ...

Extracting effective features is always a challenging problem for texture classification because of the uncertainty of scales and the clutter of textural patterns. For texture classification, spectral ...

This research work provides a comprehensive research study of CNN-SVM based techniques for the classification of dermatological diseases. It discusses key aspects such as dataset preparation, model ...

The paper introduces a novel convolutional neural network (CNN) model called "CNN model", which is specifically designed to classify and detect red dots using skin images. A dataset containing 3,192 ...