(696 Kb) Today

It introduces a deep convolutional neural network (CNN) architecture designed to detect COVID-19 from chest X-ray images. The researchers open-sourced the model and the "COVID-x" dataset to encourage international collaboration. Other Notable 696 KB Manuscripts

Version 5 (v5) of this paper on measuring neural network robustness is listed as 696 KB on arXiv . (696 KB)

This paper on arXiv specifically lists Version 2 (v2) , submitted on March 30, 2020, as being exactly 696 KB . It introduces a deep convolutional neural network (CNN)

The search term typically refers to a specific version or file size of a research paper, often found on preprint servers like arXiv . This paper on arXiv specifically lists Version 2

A post-print accepted author manuscript of this deep learning framework for medical interventions is also recorded as 696 KB at Coventry University .

While several papers have manuscript versions of this exact size (696 KB), the most prominent one associated with "deep" neural networks and a widely cited 696 KB version history is:

An accepted author manuscript for this paper on non-intrusive load monitoring (NILM) is listed as 696 KB at the University of Edinburgh .