10 citations
- University of ReadingGB3 papers
- National Centre for Earth ObservationGB2 papers
- Federal College of Fisheries and Marine TechnologyNG1 paper
- Mercator Ocean (France)FR1 paper
- Met OfficeGB1 paper
- Plymouth Marine LaboratoryGB1 paper
- Universidade Nova de LisboaPT1 paper
- University of BolognaIT1 paper
- University of BuckinghamGB1 paper
- University of EdinburghGB1 paper
- University of GreenwichGB1 paper
- University of PittsburghUS1 paper
8 papers
Hybrid machine learning data assimilation for marine biogeochemistry
Ieuan Higgs, Ross Bannister, Jozef Skákala +2
Marine biogeochemistry models are critical for forecasting, as well as estimating ecosystem responses to climate change and human activities. Data assimilation (DA) improves these…
On the minimisation of the Peak-to-average ratio
Nikos Katzourakis
Let and a continuous function be given, where . For , we consider the functional \[ \mathrm E_p(u) := \big\…
Reducing False Ventricular Tachycardia Alarms in ICU Settings: A Machine Learning Approach
Grace Funmilayo Farayola, Akinyemi Sadeeq Akintola, Oluwole Fagbohun +9
False arrhythmia alarms in intensive care units (ICUs) are a significant challenge, contributing to alarm fatigue and potentially compromising patient safety. Ventricular tachycard…
New bounds on the condition number of the Hessian of the preconditioned variational data assimilation problem
Jemima M. Tabeart, Sarah L. Dance, Amos S. Lawless +2
Data assimilation algorithms combine prior and observational information, weighted by their respective uncertainties, to obtain the most likely posterior of a dynamical system. In…
On the numerical approximation of vectorial absolute minimisers in
Nikos Katzourakis, Tristan Pryer
Let be an open set. We consider the supremal functional \[ \tag{1} \label{1} \ \ \ \ \ \ \mathrm{E}_\infty (u,\mathcal{O})\, :=\, \| \mathrm D u \|_{L^\infty( \mathcal{O} )}, \…
In the mood: the dynamics of collective sentiments on Twitter
Nathaniel Charlton, Colin Singleton, Danica Vukadinović Greetham
We study the relationship between the sentiment levels of Twitter users and the evolving network structure that the users created by @-mentioning each other. We use a large dataset…