190 citations · 273 across the 5 of their papers we have counts for
6 papers
Geometry-Aware R-Structured Kolmogorov-Arnold Networks
Sergei Kucherenko, Nilay Shah
We propose a novel hybrid neural architecture, the Geometry-aware R-Structured Kolmogorov-Arnold Network (GRS-KAN), which integrates V.L.Rvachev's R-functions into the Kolmogorov-A…
Detail or uncertainty? Applying global sensitivity analysis to strike a balance in energy system models
Maria Yliruka, Stefano Moret, Nilay Shah
Energy systems modellers often resort to simplified system representations and deterministic model formulations (i.e., not considering uncertainty) to preserve computational tracta…
Bayesian Approach to Probabilistic Design Space Characterization: A Nested Sampling Strategy
Kennedy P. Kusumo, Lucian Gomoescu, Radoslav Paulen +4
Quality by design in pharmaceutical manufacturing hinges on computational methods and tools that are capable of accurate quantitative prediction of the design space. This paper inv…
Integration of an Energy Management Tool and Digital Twin for Coordination and Control of Multi-vector Smart Energy Systems
Edward O'Dwyer, Indranil Pan, Richard Charlesworth +2
As Internet of Things (IoT) technologies enable greater communication between energy assets in smart cities, the operational coordination of various energy networks in a city or di…
Optimisation of Wastewater Treatment Strategies in Eco-Industrial Parks: Technology, Location and Transport
Edward ODwyer, Kehua Chen, Hongcheng Wang +3
The expanding population and rapid urbanisation, in particular in the Global South, are leading to global challenges on resource supply stress and rising waste generation. A transf…
Sobol' indices for problems defined in non-rectangular domains
S. Kucherenko, O. V. Klymenko, N. Shah
A novel theoretical and numerical framework for the estimation of Sobol sensitivity indices for models in which inputs are confined to a non-rectangular domain (e.g., in presence o…