An international team of researchers has developed BiaPy, an open-code artificial intelligence platform that facilitates the ...

Abstract: Effective noise suppression is crucial for the subsequent interpretation tasks of SAR imagery. Traditional SAR image processing techniques often overlook the coherent nature of noise, ...

In this study, seven phases of complete stand-walk-stand cycle as well as continuous daily walking were recognized based on muscle synergy and PSO-CNN-LSTM model. Firstly, the complete ...

Abstract: Image noise, often resulting from disturbances during image ... In this paper, we introduce DRSFANet, an advanced dual-path convolutional neural network (CNN) specifically designed to tackle ...

We propose a novel network, DCCT-Net, which combines Dynamic CNN (DCNN) and Transformer. This integration leverages DCNN’s local feature strengths and the Transformer’s global representation ...

To address these issues, we propose a quaternion CNN model that captures channel correlations and extracts salient features, thereby enhancing color image denoising performance. Specifically, we ...

However, monochrome images are often not simply composed of grayscale colors and may still contain colors, as shown by the first two rows of six images in the figure below We can use is_monochrome to ...

We use the SqueezeNet neural network to develop the mosquito image recognition system. It is a lightweight and efficient convolutional neural network (CNN) model with 50 times ... mentioned motion ...

and other hard copies of images being processed using analogue image processing and digital image processing is the use of computer algorithms to manipulate digital images. The input in both cases is ...