Robust 'Huber mean' for geometric data protects against noise and outliers

In an era driven by complex data, scientists are increasingly encountering information that doesn't lie neatly on flat, ...
VoxelMatters

JOME Engineering adopts Vipra AM to cut sampling valve lead times by 90%

Learn how JOME Engineering transformed stainless-steel valve production using Caracol's VIPRA system and WAAM 3D printing ...
Scientific Research Publishing

Dairy Business Sustainability, Market Risk Management Resilience and Stability Strategies ()

The dairy business and industry in Oman grapples with complex challenges, from wavering milk prices and escalating input ...
The Lancet

Vascular and inflammatory diseases after COVID-19 infection and vaccination in children and young people in England: a retrospective, population-based cohort stu…

Children and young people have higher risks of rare vascular and inflammatory diseases up to 12 months after a first COVID-19 ...
C&EN

Hybrid Models Based on Machine Learning and an Increasing Degree of Process Knowledge: Application to Capture Chromatographic Step

Institute of Chemical and Bioengineering, Department of Chemistry and Applied Biosciences, ETH Zurich, 8093 Zurich, Switzerland ...
IEEE

Achieving an Accurate Random Process Model for PV Power Using Cheap Data: Leveraging the SDE and Public Weather Reports

Abstract: Stochastic differential equation (SDE)-based random process models of renewable energy sources (RESs) jointly capture evolving probability distribution and temporal correlation in continuous ...
IEEE

A New End-to-End Monitoring Framework for Nonlinear Dynamic Processes With Unknown Noise Statistics

Abstract: Process monitoring (PM) plays an important role in industrial intelligent maintenance. However, existing PM methods usually assume that the noise satisfies Gaussian or non-Gaussian, making ...