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Anna Mazzinghi, Chiara Ruberto, Lisa Castelli, Caroline Czelusniak, Lorenzo Giuntini, Pier Andrea Mandò and Francesco Taccetti
At present, macro X-ray fluorescence (MA-XRF) is one of the most essential analytical methods exploited by heritage science. By providing spatial distribution elemental maps, not only does it allow for material characterisation but also to understand, or...
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Elena D?Amato, Constantino Carlos Reyes-Aldasoro, Arianna Consiglio, Gabriele D?Amato, Maria Felicia Faienza and Marcella Zollino
This work describes a non-invasive, automated software framework to discriminate between individuals with a genetic disorder, Pitt?Hopkins syndrome (PTHS), and healthy individuals through the identification of morphological facial features. The input dat...
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Alexander Scheinker
Machine learning (ML) is growing in popularity for various particle accelerator applications including anomaly detection such as faulty beam position monitor or RF fault identification, for non-invasive diagnostics, and for creating surrogate models. ML ...
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Paulo Abreu, Fernando Carneiro and Maria Teresa Restivo
This paper presents the initial development of a non-invasive system for identification of the pulse pressure waveform to be used for screening cardiac problems. The system employs a tonometric method using an off-the-shelf force sensor and custom-design...
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Michela Albano, Silvia Grassi, Giacomo Fiocco, Claudia Invernizzi, Tommaso Rovetta, Maurizio Licchelli, Raffaella Marotti, Curzio Merlo, Daniela Comelli and Marco Malagodi
Soiling deposition and wrong conservation practices are among the causes of the decay process that can affect the morphological, mechanical, and compositional features of the varnish, the most exposed layer of an artefact. In this perspective, the identi...
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