Growth moved to an upward trajectory, averaging 7.4 per cent, during 2003-04 to 2010-11. However, post 2011-12, growth decelerated from its previous best medium-term average to 6.1 per cent from ...

We conducted the significance test of correlation for the corresponding grids and marked the grids that passed the 0.05 significance level test with dots on the graph. Because there is no significant ...

The coefficient of variation (CV) included in the published tables indicate the robustness of each estimate. The CV is categorised from "A" to "D". "A" is considered precise and "D" is considered ...

CoV is a simple calculation to measure the variation in your process. Let’s see how to do the calculation, explore an ...

They require a knowledge graph. How does the journey to a knowledge graph start with unstructured data—such as text, images, and other media? The evolution of web search engines offers an ...

Estimated geographical and temporal distribution of lung-cancer incidence varied across the four main subtypes worldwide. Our ...

What do you wonder? By The Learning Network A new collection of graphs, maps and charts organized by topic and type from our “What’s Going On in This Graph?” feature. By The Learning ...

DyNoPy constructs a graph model of residue-residue interactions, identifies communities of key residue groups and annotates critical sites based on their roles. By leveraging the concept of coevolved ...

We propose a supervised data-driven method to predict S-wave velocity using a graph convolutional network with a bidirectional gated recurrent unit (GCN-BiGRU). This method adopts the total ...