Nature Research Intelligence Topics enable transformational understanding and discovery in research by categorising any document into meaningful, accessible topics. Read this blog to understand ...

Methods: To address these challenges, we propose PoseGCN, a Graph Convolutional Network (GCN)-based model ... we conducted an in-depth empirical analysis and ablation studies on Equations 9, 12 to ...

FPM can also be used to build this library using the provided fpm.toml. This example solves a set of two equations of two unknowns using a Quasi-Newton type solver. In this example, the solver is left ...

Picture: Phando Jikelo/Parliament CAPE TOWN - Police committee chairperson, Ian Cameron, says it's time to reallocate non-essential functions of the VIP Protection Unit. Cameron said that the R2 ...

In a mesmerising blend of art and mathematics, a research student from University College London (UCL) has recently gained widespread attention for creating intricate images solely through ...

They require a knowledge graph. How does the journey to a knowledge ... it soon became apparent that to support more advanced functions like reasoning, a more robust solution was necessary ...

The switching signal of communication graphs is regulated by the random Markov process ... fuzzy system state estimators are introduced to address challenges associated with unknown nonlinear ...

Then, to improve the efficiency in solving large-scale pose graphs, an efficient batch contractor is developed by improving the update order and exploiting a relaxation of the nonlinear measurement ...

ModelingToolkit can automatically generate fast functions for model components like Jacobians and Hessians, along with automatically sparsifying and parallelizing the computations. Automatic ...