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Found 3 papers, 2 papers with code
Knowledge Base Question Answering for Space Debris Queries
In this work we present a system, developed for the European Space Agency (ESA), that can answer complex natural language queries, to support engineers in accessing the information contained in a KB that models the orbital space debris environment.
Optimisation of non-pharmaceutical measures in COVID-19 growth via neural networks
This study seeks to quantify the impact of government actions in mitigating viral transmission of SARS-CoV-2 by a novel soft computing approach that makes concurrent use of a neural network model, to predict the daily slope increase of cumulative infected, and an optimiser, with a parametrisation of the government restriction time series, to understanding the best set of mitigating actions.
A Novel Update Mechanism for Q-Networks Based On Extreme Learning Machines
Here we attempt to apply extreme learning machines to a reinforcement learning problem in the same manner as gradient based updates.
