Search Results - "Borghini, Eugenio"

A Systolic Inequality for 2-Complexes of Maximal Cup-Length and Systolic Area of Groups by Borghini, Eugenio

“…We extend a systolic inequality of Guth for Riemannian manifolds of maximal Z 2 cup-length to piecewise Riemannian complexes of dimension 2. As a consequence…”
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Data-Driven Energy Storage Scheduling to Minimise Peak Demand on Distribution Systems with PV Generation by Borghini, Eugenio, Giannetti, Cinzia, Flynn, James, Todeschini, Grazia

“…The growing adoption of decentralised renewable energy generation (such as solar photovoltaic panels and wind turbines) and low-carbon technologies will…”
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Deep learning for robust forecasting of hot metal silicon content in a blast furnace by Giannetti, Cinzia, Borghini, Eugenio, Carr, Alex, Raleigh, James, Rackham, Ben

“…Abstract The hot metal silicon content is a key indicator of the thermal state in the blast furnace and it needs to be kept within a pre-defined range in order…”
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A systolic inequality for 2-complexes of maximal cup-length and systolic area of groups by Borghini, Eugenio

“…We extend a systolic inequality of Guth for Riemannian manifolds of maximal $\mathbb{Z}_2$ cup-length to piecewise Riemannian complexes of dimension 2. As a…”
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Some remarks on PL collapsible covers of 2-dimensional polyhedra by Borghini, Eugenio

“…We analyze the topology and geometry of a polyhedron of dimension 2 according to the minimum size of a cover by PL collapsible polyhedra. We provide partial…”
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Simplicial complexity of surface groups and systolic area by Borghini, Eugenio, Minian, Elias Gabriel

“…The simplicial complexity is an invariant for finitely presentable groups that was recently introduced by Babenko, Balacheff and Bulteau to study systolic…”
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The covering type of closed surfaces and minimal triangulations by Borghini, Eugenio, Minian, Elias Gabriel

“…The notion of covering type was recently introduced by Karoubi and Weibel to measure the complexity of a topological space by means of good coverings. When X…”
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Intrinsic persistent homology via density-based metric learning by Fernández, Ximena, Borghini, Eugenio, Mindlin, Gabriel, Groisman, Pablo

“…We address the problem of estimating topological features from data in high dimensional Euclidean spaces under the manifold assumption. Our approach is based…”
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