In this multicentre, prospective, observational, diagnostic accuracy study of children with suspected pulmonary embolism in ...

Abstract: Distributed computing is fundamental to multiagent systems, with solving distributed linear equations as a typical example. In this article, we study distributed solvers for network linear ...

Introduction: The retrospective analysis of continuous glucose monitoring (CGM) timeseries can be hampered by colored and non-stationary measurement noise. Here, we introduce a Bayesian denoising (BD) ...

Multivariable equations are recommended by primary prevention guidelines to assess absolute risk of cardiovascular disease (CVD). However, current equations have several limitations. Therefore, we ...

Abstract: This letter aims to solve the challenging problems in multi-modal active vision for object detection on unmanned aerial vehicles (UAVs) with a monocular camera and a limited Field of View ...

In response to the shortcomings of the Salp Swarm Algorithm (SSA) such as low convergence accuracy and slow convergence speed, a Multi-Strategy-Driven Salp Swarm Algorithm (MSD-SSA) was proposed.

The Nutil Transform function is seemingly straight-forward, since in reality it only applies a generic 2D TSR (Translation, Scaling, and Rotation) matrix to an image. However, due to the sheer size of ...

Fat, brain, and liver tissue stiffen when squished. Although tissues are complex materials consisting of deformable, active cells within a biopolymer matrix, recent work has shown that a simple tissue ...

Large-scale Machine Learning (ML) algorithms are often iterative, using repeated read-only data access and I/O-bound matrix-vector multiplications. Hence, it is crucial for performance to fit the data ...