Origami, the art of paper folding, makes a delightful and enjoyable activity for all ages. Cancel anytime. No ads. Auto-renewal. Unlimited access to the web and app. Personalised features.

Article Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to ...

I was able to really connect images in the edit based on an analysis of characters and patterns, with a sort of distance that I didn’t have (and didn’t want to have) while writing. That’s really what ...

The territorial representation system is based on constituencies or districts, where an elected representative represents the people residing in a... The Constitution also provides the framework ...

Image provided. The tool addresses biases in existing AI generators that struggle with authentic representation of ... This can turn simple projects into expensive productions.

Abstract: Human activity recognition (HAR ... We thus propose a multi-target, representation-shared domain adaptation approach (MTRS) that uses labeled data from a single source position to train a ...

A knowledge gap around cervical screenings is currently "costing lives", a cancer charity ... "There are really simple, straightforward things that you can ask for that patients just aren't ...

Therefore, a comprehensive discussion on this topic is needed. In this paper, we propose a taxonomy of supervised deep 2D image feature representation methods based on four categories: global ...

Medical image segmentation ... extracted by a simple convolution operation in layer 1, we apply multi-scale semantic feature enrichment operations using MSC and MSP modules. This operation can balance ...

It is a deep learning framework intended for image classification and segmentation. It has features like simple ... takes place based on previously acquired knowledge or statistical data extrapolated ...

In this paper, we propose a novel computational method MGRL to predict drug-disease associations based on multi-graph representation learning. More specifically, MGRL first uses the graph convolution ...