no code implementations • 3 Jun 2021 • Luciano Melodia, Richard Lenz
In this paper, we use topological data analysis techniques to construct a suitable neural network classifier for the task of learning sensor signals of entire power plants according to their reference designation system.
1 code implementation • 6 Apr 2020 • Luciano Melodia, Richard Lenz
In this paper we present an approach to determine the smallest possible number of neurons in a layer of a neural network in such a way that the topology of the input space can be learned sufficiently well.
1 code implementation • 8 Nov 2019 • Luciano Melodia, Richard Lenz
In this study the Voronoi interpolation is used to interpolate a set of points drawn from a topological space with higher homology groups on its filtration.
no code implementations • 23 May 2018 • Luciano Melodia
The distribution of energy dose from Lu$^{177}$ radiotherapy can be estimated by convolving an image of a time-integrated activity distribution with a dose voxel kernel (DVK) consisting of different types of tissues.