Deep learning is an AI function and a subset of machine learning, used for processing large amounts of complex data. Deep learning can automatically create algorithms based on data patterns.

In this paper, inspired by the Residual-based U-Net (RU-Net), an innovative deep learning-based model, DARU-Net, for FBA Identification (FBAI) using multi-source satellite images is presented based on ...

Regarding data, we present the fine-grained farmland dataset (FGFD), which compiles high-quality, meticulously annotated very high-resolution (VHR) satellite images and captures distinct regional ...

CCTV images linked to a theft at a retail store in Aylesbury, have been released by the police today (11 December). Did you know with an ad-lite subscription to Bucks Herald, you get 70% fewer ads ...

Creating deep fake sexual images is to be made a criminal offence under plans being drawn up by the Government. The new law by the Ministry of Justice (MoJ) would make it illegal to create or ...

In contrast, electrocardiograms (ECGs) are more common and easily accessible. In this study, we use a deep learning approach to correlate ECG readings with their corresponding EF. Low EF is defined as ...

Requires MATLAB release R2024a or newer. Some examples require Text Analytics Toolbox™. Open MATLAB and navigate to the directory where you cloned the repository. Add the directory to the MATLAB path.

It is a deep learning framework intended for image classification and segmentation. It has features like simple CPU and GPU switching, optimised model definition and configuration, computation ...