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

Artificial Intelligence can be difficult to understand, but a few things are certain: it's here, it's reshaping entire industries, and it's making a lot of people nervous. Audie sits down with ...

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, ...

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 ...

The objective of this paper is to provide a high-level process of designing and implementing an Audio Algorithm, specifically written for Soc’s multi-core, low-power audio processing DSP processors.

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 ...