Lorenzo Sassu

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In this work, the problem of real-time monitoring of products' properties from spectrophotoscopic measurements is presented. Light absorbance spectra are used as inputs to software sensors that estimate outputs otherwise difficult to measure on-line. We approached the problems associated to calibrating the estimation models from very high-dimensional inputs(More)
The Delaunay tessellation and topological regression is a local simplex method for multivariate calibration. The method, developed within computational geometry, has potential for applications in online analytical chemistry and process monitoring. This study proposes a novel approach to perform prediction and extrapolation using Delaunay calibration method.(More)
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