data analysis

Comparison of Approaches for Data Analysis of Multi-Parametric Monitoring Systems: Insights from the Acuto Test-Site (Central Italy)

This paper deals with monitoring systems to manage the risk due to fast slope failures
that involve rock masses, in which important elements (such as infrastructures or cultural heritages,
among the others) are exposed. Three different approaches for data analysis were here compared
to evaluate their suitability for detecting mutual relations among destabilising factors, acting on
different time windows, and induced strain effects on rock masses: (i) an observation-based approach

Performance Indicators of Electricity Generation at Country Level—The Case of Italy

Power Grids face significant variability in their operation, especially where there are high proportions of non-programmable renewable energy sources constituting the electricity mix. An accurate and up-to-date knowledge of operational data is essential to guaranteeing the optimal management of the network, and this aspect will be even more crucial for the full deployment of Smart Grids.

Predicting online review scores across reviewer categories

In this paper, we propose and test an approach based on regression models, to predict the review score of an item, across different reviewer categories. The analysis is based on a public dataset with more than 2.5 million hotel reviews, belonging to five specific reviewers' categories. We first compute the relation between the average scores associated with the different categories and generate the corresponding regression model.

A numerical investigation on the high‐frequency geometry of spherical random eigenfunctions

A lot of attention has been drawn over the last few years by the investigation of the geometry of spherical random eigenfunctions (random spherical harmonics) in the high‐frequency regime, that is, for diverging eigenvalues. In this paper, we present a review of these results and we collect for the first time a comprehensive numerical investigation, focussing on particular on the behavior of Lipschitz‐Killing curvatures/Minkowski functionals (i.e., the area, the boundary length, and the Euler‐Poincaré characteristic of excursion sets) and on critical points.

Politeness and impoliteness in fashion advertisements in Spanish

This study deals with discourse strategies used in fashion advertisements in Spanish language. Specifically, the aim is to analyze politeness and impoliteness as pragmalinguistic resources in order to convince the recipient to consume a product. Politeness is defined as a human strategy (Mariottini 2007) which tends to maintain the social equilibrium between the speaker’s and hearer’s faces (Goffman 1981) involved in a specific communicative situation.

Composite Indicators for Smart Campus: Data Analysis Method

Il concetto di Smart Campus ha iniziato a svilupparsi negli ultimi anni come possibile adattamento del modello di città intelligente ai campus universitari. La trasformazione di un campus standard in uno Smart Campus richiede lo sviluppo di un quadro di valutazione che consenta di valutare lo stato dell'arte mediante indicatori compositi. Applicando una nuova metodologia, lo scopo di questo progetto è definire un insieme globale di indicatori.

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