Stefano Elefante

TL;DR: Investigation of the usefulness of multiple genetic testing using simulated data demonstrated that a high to excellent discriminative accuracy can be obtained by simultaneously testing multiple susceptibility genes.

TL;DR: The proposed parallel solution (P-SBAS) is based on a dual-level parallelization approach and encompasses combined parallelization strategies, which are fully discussed in this paper and confirm the effectiveness of the proposed parallel computing solution.

TL;DR: On-demand web tool that permits to set up an efficient on-line P-SBAS processing service to produce surface deformation mean velocity maps and time series in an unsupervised manner may contribute to drastically expand the user community exploiting the DInSAR products and methodologies.

TL;DR: A case study on the migration to a Cloud Computing environment of the advanced differential synthetic aperture radar interferometry (DInSAR) technique, referred to as Small BAseline Subset (SBAS), which allows the production of mean deformation velocity maps and the corresponding displacement time-series from a temporal sequence of radar images by exploiting distributed computing architectures.

TL;DR: In this article, an extension of the known Pixel Offset- Small Baseline Subset (PO-SBAS) technique is presented to profit a set of successive Synthetic Aperture Radar (SAR) scenes for computing displacement time series and ice velocity fields.