In light of this, we have developed a recognition model for UAV using a dual-channel multi-scale convolutional neural network (CNN). This model initially enhances UAV recognition accuracy by ...

In recent years, Convolutional Neural Network (CNN), as a deep learning algorithm, has been widely used in many fields such as computer vision and speech recognition. In the field of geological ...

Convolutional Neural Network is a special type of neural network which is widely used in image processing and classification tasks. It is a state-of-the-art deep learning method consisting of many ...

Abstract: In this letter, two convolutional neural network (CNN) models for detection of magnetic anomaly target signals are proposed. One is a 1-D CNN combined with signal feature (SF-CNN1D), and the ...

This methodology first transforms epileptic EEG signals to power spectrum density energy diagrams (PSDEDs), then applies deep convolutional neural networks (DCNNs) and transfer learning to ...

Machine learning is successful in many imaging applications, such as image classification (1–3) and semantic segmentation (4–6).Many applications of machine learning to imaging problems use deep ...