Collective efficacy (CE) - the combination of social ties between local residents and their shared willingness to actively engage in social control - has become widely recognised as one of the central ...
A research team has developed a new model, PlantIF, that addresses one of the most pressing challenges in agriculture: the ...
When you study mathematics and statistics at the University of Helsinki, some of the best mathematicians and statisticians in the world are your instructors. Studies in this Master’s programme will ...
Applied mathematics is the application of mathematical techniques to describe real-world systems and solve technologically relevant problems. This can include the mechanics of a moving body, the ...
Will Kenton is an expert on the economy and investing laws and regulations. He previously held senior editorial roles at Investopedia and Kapitall Wire and holds a MA in Economics from The New School ...
Abstract: Convolution and self-attention are two powerful techniques for multisource remote sensing (RS) data fusion that have been widely adopted in Earth observation tasks. However, convolutional ...
Abstract: Object detection (OD) in unmanned aerial vehicle (UAV) images faces many challenges, with diverse-scale objects and small objects being particularly prominent issues. To alleviate these ...
Leading the way with our groundbreaking research and innovative teaching spanning chemistry, physics and astronomy, and mathematics and statistics. Our students go on to make an impact across a huge ...
Wrapping awkwardly shaped Christmas presents is always a headache, but here's the formula for perfect gift wrap. An audacious heist at the Louvre saw thieves make off with priceless crown jewels in ...
Scientific American is part of Springer Nature, which owns or has commercial relations with thousands of scientific publications (many of them can be found at www ...
Abstract: Currently, machine learning-based methods for remote sensing pansharpening have progressed rapidly. However, existing pansharpening methods often do not fully exploit differentiating ...
This repository contains the implementation of AdaptConv for point cloud analysis. Adaptive Graph Convolution (AdaptConv) is a point cloud convolution operator presented in our ICCV2021 paper. If you ...