Developing complex scientific applications on high performance systems requires both domain knowledge and expertise in parallel and distributed programming models. In addition, modern high performance systems are heterogeneous, ...

Underwater cabled observatories are a key assets to monitor the oceans, providing high-resolution multi-parametric data from a wide variety of sensor systems. Their outstanding observational capabilities lead to significant ...

Cognitive rehabilitation (CR) treatment consists of hierarchically organized tasks that require repetitive use of impaired cognitive functions in a progressively more demanding sequence. Active monitoring of the progress ...

Model developments to assess different air pollution exposures within cities are still a key challenge in environmental epidemiology. Background air pollution is a long-term resident and low-level concentration pollution ...

In advanced computer-aided design systems, an object is defined by a finite collection of points, linear segments, and circular segments, and a finite set of geometric constraints relating these points and segments. Given ...

A compositional data vector is a special type of multivariate observation in which the elements of the vector are non-negative and sum to a constant, usually taken to be unity. Data of this type arise in many elds ...

The multi-fidelity machine learning framework proposed in this paper leverages a probabilistic approach based on Gaussian Process modeling for the formulation of stochas- tic response surfaces ...

In this paper we propose a data-driven approach for the construction of survey-based indicators using large data sets. We make use of agents’ expectations about a wide range of economic variables contained in the World ...

Application Programming Interfaces (APIs) are means of communication between applications, hence they can be seen as user interfaces, just with different kind of users, i.e., software or computers. However, the very first ...