Search Results for author: Luciano Melodia

Found 4 papers, 2 papers with code

Homological Time Series Analysis of Sensor Signals from Power Plants

no code implementations3 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.

Time Series Time Series Analysis +1

Estimate of the Neural Network Dimension Using Algebraic Topology and Lie Theory

1 code implementation6 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.

Persistent Homology as Stopping-Criterion for Voronoi Interpolation

1 code implementation8 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.

Deep Learning Estimation of Absorbed Dose for Nuclear Medicine Diagnostics

no code implementations23 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.

Cannot find the paper you are looking for? You can Submit a new open access paper.