Multi-Agent Reinforcement Learning (MARL) is a powerful Machine Learning paradigm, where multiple autonomous agents can learn to improve the performance of a system through experience. The majority of MARL implementations ...

There is substantial opportunity in the development of wind and tidal current turbines to help decarbonise national energy systems and to expand the economic potential of the European Union. However, well-documented cases ...

In a world where online users form communities for various purposes and around many different topics of interest, it has become of social and economic importance for owners, providers and managers of online communities to ...

Swimming is a technically demanding sport that requires ongoing quantitative assessment in order to monitor technical progression and improvements in performance. Traditional methods of monitoring a swimmer’s technique ...

Nature uses a complex genotype-phenotype map to advance a relatively simple genotype space variational topology to an extremely complex phenotypic variational topology. This dissertation introduces a modular, fixed ...

A study of perceived workload and ‘Levels of Automation’ (LOA) was performed at the ‘Treatment delivery’ stage of Low-Dose Rate (LDR) prostate brachytherapy, which is a modality of cancer treatment. Five research questions ...

As part of the big data world, RDF, the graph-based data model of the Semantic Web, is growing in use. Consequently, the size of available RDF data is increasing and massive datasets are becoming commonplace. Nevertheless, ...