Neurointervention is a highly specialized area of medicine and, as such, neurointerventional research studies are often more challenging to conduct, require large, multicenter efforts and longer study ...

Science isn’t just about passing GCSEs or meeting criteria at A-Level, it’s the launchpad for STEM career pathways. Every breakthrough you read about, from artificial intelligence to renewable energy, ...

Schug discusses the role of surrogate modelling in chromatographic method development and process optimization. Surrogate modelling is emerging as a powerful tool in chromatographic method development ...

High school students have been waiting as long as three weeks to see results for their VCE exams. With the countdown rolling in early last Thursday (December 12), the question for students beckoned ...

In this paper we compare track data association purity, accuracy, and timing on a simple, idealized model tracking problem for two data association methods: Global Nearest Neighbor (GNN) and Linear ...

Advances in proteomics and mass spectrometry enable the study of limited cell populations such as performing mouse models. Low-protein load studies often require two steps to perform differential ...

Abstract: System stabilization via policy gradient (PG) methods has drawn increasing attention in both control and machine learning communities. In this article, we study their convergence and sample ...

Abstract: This paper focuses on solving the linear quadratic regulator problem for discrete-time linear systems without knowing system matrices. The classical Q-learning methods for linear systems can ...

A research group led by Spain’s Valencia Polytechnic University has developed a novel single-parameter power forecasting method for residential PV installations. The proposed approach defines interval ...